-
1
-
-
34247171748
-
Computer-aided diagnosis in medical imaging: Historical review, current status and future potential
-
Doi, K. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput. Med. Imaging Graph. 31, 198-211 (2007).
-
(2007)
Comput. Med. Imaging Graph.
, vol.31
, pp. 198-211
-
-
Doi, K.1
-
2
-
-
81555205692
-
Computer-aided diagnosis: How to move from the laboratory to the clinic
-
van Ginneken, B., Schaefer-Prokop, C. M. & Prokop, M. Computer-aided diagnosis: how to move from the laboratory to the clinic. Radiology 261, 719-732 (2011).
-
(2011)
Radiology
, vol.261
, pp. 719-732
-
-
Van Ginneken, B.1
Schaefer-Prokop, C.M.2
Prokop, M.3
-
3
-
-
56749181253
-
Anniversary paper: History and status of CAD and quantitative image analysis: The role of medical physics and AAPM
-
Giger, M. L., Chan, H.-P. & Boone, J. Anniversary paper: history and status of CAD and quantitative image analysis: the role of medical physics and AAPM. Med. Phys. 35, 5799-5820 (2008).
-
(2008)
Med. Phys.
, vol.35
, pp. 5799-5820
-
-
Giger, M.L.1
Chan, H.-P.2
Boone, J.3
-
4
-
-
77952688313
-
Computer-aided US diagnosis of breast lesions by using cell-based contour grouping1
-
Cheng, J.-Z. et al. Computer-aided US diagnosis of breast lesions by using cell-based contour grouping1. Radiology 255, 746-754 (2010).
-
(2010)
Radiology
, vol.255
, pp. 746-754
-
-
Cheng, J.-Z.1
-
5
-
-
84880524177
-
Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer
-
Giger, M. L., Karssemeijer, N. & Schnabel, J. A. Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer. Annu. Rev. Biomed. Eng. 15, 327-357 (2013).
-
(2013)
Annu. Rev. Biomed. Eng.
, vol.15
, pp. 327-357
-
-
Giger, M.L.1
Karssemeijer, N.2
Schnabel, J.A.3
-
6
-
-
6344221607
-
Computer-aided diagnosis of solid breast nodules: Use of an artificial neural network based on multiple sonographic features
-
Joo, S., Yang, Y. S., Moon, W. K. & Kim, H. C. Computer-aided diagnosis of solid breast nodules: use of an artificial neural network based on multiple sonographic features. IEEE Trans. Med. Imag. 23, 1292-1300 (2004).
-
(2004)
IEEE Trans. Med. Imag.
, vol.23
, pp. 1292-1300
-
-
Joo, S.1
Yang, Y.S.2
Moon, W.K.3
Kim, H.C.4
-
7
-
-
0037294995
-
Breast lesions on sonograms: Computer-aided diagnosis with nearly setting-independent features and artificial neural networks 1
-
Chen, C.-M. et al. Breast Lesions on Sonograms: Computer-aided Diagnosis with Nearly Setting-Independent Features and Artificial Neural Networks 1. Radiology 226, 504-514 (2003).
-
(2003)
Radiology
, vol.226
, pp. 504-514
-
-
Chen, C.-M.1
-
8
-
-
58049192571
-
Automated method for improving system performance of computer-aided diagnosis in breast ultrasound
-
Drukker, K., Sennett, C. & Giger, M. L. Automated method for improving system performance of computer-aided diagnosis in breast ultrasound. IEEE Trans. Med. Imag. 28, 122-128 (2009).
-
(2009)
IEEE Trans. Med. Imag.
, vol.28
, pp. 122-128
-
-
Drukker, K.1
Sennett, C.2
Giger, M.L.3
-
9
-
-
33645120370
-
Pulmonary nodules: Estimation of malignancy at thin-section helical CT-effect of computer-aided diagnosis on performance of radiologists 1
-
Awai, K. et al. Pulmonary Nodules: Estimation of Malignancy at Thin-Section Helical CT-Effect of Computer-aided Diagnosis on Performance of Radiologists 1. Radiology 239, 276-284 (2006).
-
(2006)
Radiology
, vol.239
, pp. 276-284
-
-
Awai, K.1
-
10
-
-
33646133002
-
Distinguishing benign from malignant pulmonary nodules with helical chest CT in children with malignant solid tumors 1
-
McCarville, M. B. et al. Distinguishing Benign from Malignant Pulmonary Nodules with Helical Chest CT in Children with Malignant Solid Tumors 1. Radiology 239, 514-520 (2006).
-
(2006)
Radiology
, vol.239
, pp. 514-520
-
-
McCarville, M.B.1
-
11
-
-
0346994904
-
Computer-aided diagnosis in high resolution CT of the lungs
-
Sluimer, I. C., van Waes, P. F., Viergever, M. A. & van Ginneken, B. Computer-aided diagnosis in high resolution CT of the lungs. Med. Phys. 30, 3081-3090 (2003).
-
(2003)
Med. Phys.
, vol.30
, pp. 3081-3090
-
-
Sluimer, I.C.1
Van Waes, P.F.2
Viergever, M.A.3
Van Ginneken, B.4
-
12
-
-
84877744350
-
Computer-aided diagnosis for early-stage lung cancer based on longitudinal and balanced data
-
Sun, T., Zhang, R., Wang, J., Li, X. & Guo, X. Computer-aided diagnosis for early-stage lung cancer based on longitudinal and balanced data. Plos ONE 8, e63559 (2013).
-
(2013)
Plos ONE
, vol.8
, pp. e63559
-
-
Sun, T.1
Zhang, R.2
Wang, J.3
Li, X.4
Guo, X.5
-
13
-
-
67649607477
-
Computer-aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features
-
Way, T. W. et al. Computer-aided diagnosis of pulmonary nodules on CT scans: improvement of classification performance with nodule surface features. Med. Phys. 36, 3086-3098 (2009).
-
(2009)
Med. Phys.
, vol.36
, pp. 3086-3098
-
-
Way, T.W.1
-
14
-
-
4544277237
-
Automated lung segmentation for thoracic CT: Impact on computer-aided diagnosis1
-
Armato III, S. G. & Sensakovic, W. F. Automated lung segmentation for thoracic CT: Impact on computer-aided diagnosis1. Acad. Radiol. 11, 1011-1021 (2004).
-
(2004)
Acad. Radiol.
, vol.11
, pp. 1011-1021
-
-
Armato, S.G.1
Sensakovic, W.F.2
-
15
-
-
33745644734
-
Computer-aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours
-
Way, T. W. et al. Computer-aided diagnosis of pulmonary nodules on CT scans: segmentation and classification using 3D active contours. Med. Phys. 33, 2323-2337 (2006).
-
(2006)
Med. Phys.
, vol.33
, pp. 2323-2337
-
-
Way, T.W.1
-
16
-
-
78650599059
-
Computer-aided classification of breast masses: Performance and interobserver variability of expert radiologists versus residents
-
Singh, S., Maxwell, J., Baker, J. A., Nicholas, J. L. & Lo, J. Y. Computer-aided classification of breast masses: Performance and interobserver variability of expert radiologists versus residents. Radiology 258, 73-80 (2011).
-
(2011)
Radiology
, vol.258
, pp. 73-80
-
-
Singh, S.1
Maxwell, J.2
Baker, J.A.3
Nicholas, J.L.4
Lo, J.Y.5
-
17
-
-
33847208483
-
Malignant and benign breast masses on 3D US volumetric images: Effect of computer-aided diagnosis on radiologist accuracy 1
-
Sahiner, B. et al. Malignant and Benign Breast Masses on 3D US Volumetric Images: Effect of Computer-aided Diagnosis on Radiologist Accuracy 1. Radiology 242, 716-724 (2007).
-
(2007)
Radiology
, vol.242
, pp. 716-724
-
-
Sahiner, B.1
-
18
-
-
77952094531
-
Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: Differences in lesions presenting as mass and non-mass-like enhancement
-
Newell, D. et al. Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement. Eur. Radiol. 20, 771-781 (2010).
-
(2010)
Eur. Radiol.
, vol.20
, pp. 771-781
-
-
Newell, D.1
-
19
-
-
84890370371
-
Robust texture analysis using multi-resolution gray-scale invariant features for breast sonographic tumor diagnosis
-
Yang, M. et al. Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis. IEEE Trans. Med. Imag. 32, 2262-2273 (2013).
-
(2013)
IEEE Trans. Med. Imag.
, vol.32
, pp. 2262-2273
-
-
Yang, M.1
-
20
-
-
84867081344
-
Analysis of co-occurrence texture statistics as a function of gray-level quantization for classifying breast ultrasound
-
Gómez, W., Pereira, W. & Infantosi, A. F. C. Analysis of co-occurrence texture statistics as a function of gray-level quantization for classifying breast ultrasound. IEEE Trans. Med. Imag. 31, 1889-1899 (2012).
-
(2012)
IEEE Trans. Med. Imag.
, vol.31
, pp. 1889-1899
-
-
Gómez, W.1
Pereira, W.2
Infantosi, A.F.C.3
-
21
-
-
0035661275
-
Application of the mutual information criterion for feature selection in computer-aided diagnosis
-
Tourassi, G. D., Frederick, E. D., Markey, M. K. & Floyd Jr, C. E. Application of the mutual information criterion for feature selection in computer-aided diagnosis. Med. Phys. 28, 2394-2402 (2001).
-
(2001)
Med. Phys.
, vol.28
, pp. 2394-2402
-
-
Tourassi, G.D.1
Frederick, E.D.2
Markey, M.K.3
Floyd, C.E.4
-
22
-
-
0035544613
-
Computer-aided characterization of mammographic masses: Accuracy of mass segmentation and its effects on characterization
-
Sahiner, B. et al. Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization. IEEE Trans. Med. Imag. 20, 1275-1284 (2001).
-
(2001)
IEEE Trans. Med. Imag.
, vol.20
, pp. 1275-1284
-
-
Sahiner, B.1
-
23
-
-
78650124769
-
ACCOMP: Augmented cell competition algorithm for breast lesion demarcation in sonography
-
Cheng, J.-Z. et al. ACCOMP: augmented cell competition algorithm for breast lesion demarcation in sonography. Med. Phys. 37, 6240-6252 (2010).
-
(2010)
Med. Phys.
, vol.37
, pp. 6240-6252
-
-
Cheng, J.-Z.1
-
24
-
-
28844489860
-
Cell-competition algorithm: A new segmentation algorithm for multiple objects with irregular boundaries in ultrasound images
-
Chen, C.-M. et al. Cell-competition algorithm: A new segmentation algorithm for multiple objects with irregular boundaries in ultrasound images. Ultrasound Med. Biol. 31, 1647-1664 (2005).
-
(2005)
Ultrasound Med. Biol.
, vol.31
, pp. 1647-1664
-
-
Chen, C.-M.1
-
25
-
-
79953048649
-
Contour detection and hierarchical image segmentation
-
Arbelaez, P., Maire, M., Fowlkes, C. & Malik, J. Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33, 898-916 (2011).
-
(2011)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.33
, pp. 898-916
-
-
Arbelaez, P.1
Maire, M.2
Fowlkes, C.3
Malik, J.4
-
26
-
-
76249103656
-
Quantitative analysis of pulmonary emphysema using local binary patterns
-
Sorensen, L., Shaker, S. B. & De Bruijne, M. Quantitative analysis of pulmonary emphysema using local binary patterns. IEEE Trans. Med. Imag. 29, 559-569 (2010).
-
(2010)
IEEE Trans. Med. Imag.
, vol.29
, pp. 559-569
-
-
Sorensen, L.1
Shaker, S.B.2
De Bruijne, M.3
-
27
-
-
0032710766
-
Journey toward computer-aided diagnosis: Role of image texture analysis 1
-
Tourassi, G. D. Journey toward Computer-aided Diagnosis: Role of Image Texture Analysis 1. Radiology 213, 317-320 (1999).
-
(1999)
Radiology
, vol.213
, pp. 317-320
-
-
Tourassi, G.D.1
-
28
-
-
13844267711
-
Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors
-
Chang, R.-F., Wu, W.-J., Moon, W. K. & Chen, D.-R. Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors. Breast Cancer Res. Treat. 89, 179-185 (2005).
-
(2005)
Breast Cancer Res. Treat.
, vol.89
, pp. 179-185
-
-
Chang, R.-F.1
Wu, W.-J.2
Moon, W.K.3
Chen, D.-R.4
-
29
-
-
53149141006
-
Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound
-
Huang, Y. L. et al. Computer-aided diagnosis using morphological features for classifying breast lesions on ultrasound. Ultrasound Obstet. Gynecol. 32, 565-572 (2008).
-
(2008)
Ultrasound Obstet. Gynecol.
, vol.32
, pp. 565-572
-
-
Huang, Y.L.1
-
30
-
-
33846561079
-
Complexity curve and grey level co-occurrence matrix in the texture evaluation of breast tumor on ultrasound images
-
Alvarenga, A. V., Pereira, W. C., Infantosi, A. F. C. & Azevedo, C. M. Complexity curve and grey level co-occurrence matrix in the texture evaluation of breast tumor on ultrasound images. Med. Phy. 34, 379-387 (2007).
-
(2007)
Med. Phy.
, vol.34
, pp. 379-387
-
-
Alvarenga, A.V.1
Pereira, W.C.2
Infantosi, A.F.C.3
Azevedo, C.M.4
-
31
-
-
78449233034
-
Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models
-
Kubota, T., Jerebko, A. K., Dewan, M., Salganicoff, M. & Krishnan, A. Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models. Med. Image Anal. 15, 133-154 (2011).
-
(2011)
Med. Image Anal.
, vol.15
, pp. 133-154
-
-
Kubota, T.1
Jerebko, A.K.2
Dewan, M.3
Salganicoff, M.4
Krishnan, A.5
-
32
-
-
84923814844
-
Latent feature representation with stacked auto-encoder for AD/MCI diagnosis
-
Suk, H.-I., Lee, S.-W. & Shen, D. Latent feature representation with stacked auto-encoder for AD/MCI diagnosis. Brain Struct. Funct. 220, 841-859 (2015).
-
(2015)
Brain Struct. Funct.
, vol.220
, pp. 841-859
-
-
Suk, H.-I.1
Lee, S.-W.2
Shen, D.3
-
33
-
-
84921492033
-
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation
-
Zhang, W. et al. Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. NeuroImage 108, 214-224 (2015).
-
(2015)
NeuroImage
, vol.108
, pp. 214-224
-
-
Zhang, W.1
-
34
-
-
84879853539
-
Stacked autoencoders for unsupervised feature learning and multiple organ detection in a pilot study using 4D patient data
-
Shin, H.-C., Orton, M. R., Collins, D. J., Doran, S. J. & Leach, M. O. Stacked autoencoders for unsupervised feature learning and multiple organ detection in a pilot study using 4D patient data. IEEE Trans. Pattern Anal. Mach. Intell. 35, 1930-1943 (2013).
-
(2013)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.35
, pp. 1930-1943
-
-
Shin, H.-C.1
Orton, M.R.2
Collins, D.J.3
Doran, S.J.4
Leach, M.O.5
-
35
-
-
84947424557
-
Automatic fetal ultrasound standard plane detection using knowledge transferred recurrent neural networks
-
Chen, H. et al. Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks. Med. Image Comput. Comput. Assist. Interv. (MICCAI) 9349, 507-514 (2015).
-
(2015)
Med. Image Comput. Comput. Assist. Interv. (MICCAI)
, vol.9349
, pp. 507-514
-
-
Chen, H.1
-
36
-
-
84969916782
-
Improving computer-aided detection using convolutional neural networks and random view aggregation
-
in press
-
Roth, H. et al. Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Med. Imag. in press, doi:10.1109/tmi.2015.2482920 (2016).
-
(2016)
IEEE Trans. Med. Imag.
-
-
Roth, H.1
-
37
-
-
84951138738
-
Leveraging mid-level semantic boundary cues for automated lymph node detection
-
Seff, A. et al. Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. Med. Image Comput. Comput. Assist. Interv. (MICCAI) 9350, 53-61 (2015).
-
(2015)
Med. Image Comput. Comput. Assist. Interv. (MICCAI)
, vol.9350
, pp. 53-61
-
-
Seff, A.1
-
38
-
-
84951010232
-
Computer-aided pulmonary embolism detection using a novel vessel-aligned multi-planar image representation and convolutional neural networks
-
Tajbakhsh, N., Gotway, M. B. & Liang, J. Computer-aided pulmonary embolism detection using a novel vessel-aligned multi-planar image representation and convolutional neural networks. Med. Image Comput. Comput. Assist. Interv. (MICCAI) 9350, 62-69 (2015).
-
(2015)
Med. Image Comput. Comput. Assist. Interv. (MICCAI)
, vol.9350
, pp. 62-69
-
-
Tajbakhsh, N.1
Gotway, M.B.2
Liang, J.3
-
40
-
-
84943752367
-
Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of - The-box
-
Ciompi, F. et al. Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box. Med. Image Anal. 26, 195-202 (2015).
-
(2015)
Med. Image Anal.
, vol.26
, pp. 195-202
-
-
Ciompi, F.1
-
41
-
-
79551480483
-
Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
-
Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y. & Manzagol, P.-A. Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11, 3371-3408 (2010).
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 3371-3408
-
-
Vincent, P.1
Larochelle, H.2
Lajoie, I.3
Bengio, Y.4
Manzagol, P.-A.5
-
42
-
-
59449087310
-
Exploring strategies for training deep neural networks
-
Larochelle, H., Bengio, Y., Louradour, J. & Lamblin, P. Exploring strategies for training deep neural networks. J. Mach. Learn. Res. 10, 1-40 (2009).
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 1-40
-
-
Larochelle, H.1
Bengio, Y.2
Louradour, J.3
Lamblin, P.4
-
43
-
-
78649269028
-
Distance regularized level set evolution and its application to image segmentation
-
Li, C., Xu, C., Gui, C. & Fox, M. D. Distance regularized level set evolution and its application to image segmentation. IEEE Trans. Imag. Proc. 19, 3243-3254 (2010).
-
(2010)
IEEE Trans. Imag. Proc.
, vol.19
, pp. 3243-3254
-
-
Li, C.1
Xu, C.2
Gui, C.3
Fox, M.D.4
-
44
-
-
84871398269
-
GrowCut: Interactive multi-label ND image segmentation by cellular automata
-
Vezhnevets, V. & Konouchine, V. GrowCut: Interactive multi-label ND image segmentation by cellular automata. Proc. of Graphicon. 1, 150-156 (2005).
-
(2005)
Proc. of Graphicon.
, vol.1
, pp. 150-156
-
-
Vezhnevets, V.1
Konouchine, V.2
-
45
-
-
84908219488
-
Statistical methods for assessing agreement between two methods of clinical measurement
-
Martin Bland, J. & Altman, D. Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet 327, 307-310 (1986).
-
(1986)
The Lancet
, vol.327
, pp. 307-310
-
-
Martin Bland, J.1
Altman, D.2
-
46
-
-
85032751458
-
Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
-
Hinton, G. et al. Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. IEEE Signal Process. Mag. 29, 82-97 (2012).
-
(2012)
IEEE Signal Process. Mag.
, vol.29
, pp. 82-97
-
-
Hinton, G.1
-
47
-
-
4143056820
-
Lung image database consortium: Developing a resource for the medical imaging research community 1
-
Armato III, S. G. et al. Lung image database consortium: Developing a resource for the medical imaging research community 1. Radiology 232, 739-748 (2004).
-
(2004)
Radiology
, vol.232
, pp. 739-748
-
-
Armato, S.G.1
-
48
-
-
79551672468
-
The lung image database consortium (LIDC) and image database resource initiative (IDRI): A completed reference database of lung nodules on CT scans
-
Armato III, S. G. et al. The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans. Med. Phys. 38, 915-931 (2011).
-
(2011)
Med. Phys.
, vol.38
, pp. 915-931
-
-
Armato, S.G.1
|