-
1
-
-
85141266799
-
Support vector machines for multiple-instance learning
-
Andrews, S., Tsochantaridis, I., Hofmann, T.: Support vector machines for multiple-instance learning. In: NIPS, pp. 561-568 (2002)
-
(2002)
NIPS
, pp. 561-568
-
-
Andrews, S.1
Tsochantaridis, I.2
Hofmann, T.3
-
2
-
-
0036359730
-
A stability based method for discovering structure in clustered data
-
Ben-Hur, A., Elisseeff, A., Guyon, I.: A stability based method for discovering structure in clustered data. In: Pac. Symp. Biocomput., pp. 6-17 (2001)
-
(2001)
Pac. Symp. Biocomput
, pp. 6-17
-
-
Ben-Hur, A.1
Elisseeff, A.2
Guyon, I.3
-
3
-
-
35148890331
-
Multiple instance learning of pulmonary embolism detection with geodesic distance along vascular structure
-
Bi, J., Liang, J.: Multiple instance learning of pulmonary embolism detection with geodesic distance along vascular structure. In: CVPR, pp. 1-8 (2007)
-
(2007)
CVPR
, pp. 1-8
-
-
Bi, J.1
Liang, J.2
-
4
-
-
33947180489
-
MILES: Multiple-instance learning via embedded instance selection
-
Chen, Y., Bi, J., Wang, J.: MILES: Multiple-instance learning via embedded instance selection. IEEE T. Pattern. Anal. Mach. Intel. 28(12), 1931-1947 (2006)
-
(2006)
IEEE T. Pattern. Anal. Mach. Intel
, vol.28
, Issue.12
, pp. 1931-1947
-
-
Chen, Y.1
Bi, J.2
Wang, J.3
-
5
-
-
84908024288
-
Multiple instance learning with bag dissimilarities
-
Cheplygina, V., Tax, D.M.J., Loog, M.: Multiple instance learning with bag dissimilarities. Pattern Recognition 48(1), 264-275 (2015)
-
(2015)
Pattern Recognition
, vol.48
, Issue.1
, pp. 264-275
-
-
Cheplygina, V.1
Tax, D.2
Loog, M.3
-
6
-
-
84919897477
-
Classification of COPD with multiple instance learning
-
Cheplygina, V., et al.: Classification of COPD with multiple instance learning. In: ICPR, pp. 1508-1513 (2014)
-
(2014)
ICPR
, pp. 1508-1513
-
-
Cheplygina, V.1
-
7
-
-
84911399185
-
Feedback on a publicly distributed image database: The Messidor database. Image Anal
-
Decencière, E., et al.: Feedback on a publicly distributed image database: the Messidor database. Image Anal. Stereol., 231-234 (2014)
-
(2014)
Stereol.
, pp. 231-234
-
-
Decencière, E.1
-
8
-
-
39749155907
-
Multiple-instance learning algorithms for computer-aided detection
-
Dundar, M.M., Fung, G., et al.: Multiple-instance learning algorithms for computer-aided detection. IEEE T. Biomed. Eng. 55(3), 1015-1021 (2008)
-
(2008)
IEEE T. Biomed. Eng
, vol.55
, Issue.3
, pp. 1015-1021
-
-
Dundar, M.M.1
Fung, G.2
-
9
-
-
84947454552
-
Omputer-aided diagnosis from weak supervision: A benchmarking stud
-
Kandemir, M., Hamprecht, F.A.: Computer-aided diagnosis from weak supervision: A benchmarking study. Comput. Med. Imag. Grap. (2014) (in press)
-
(2014)
Comput. Med. Imag.
-
-
Kandem, M.1
Hamp, C.2
-
10
-
-
84922337078
-
Empowering multiple instance histopathology cancer diagnosis by cell graphs
-
In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.), Springer, Heidelberg
-
Kandemir, M., Zhang, C., Hamprecht, F.A.: Empowering multiple instance histopathology cancer diagnosis by cell graphs. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, Part II. LNCS, vol. 8674, pp. 228-235. Springer, Heidelberg (2014)
-
(2014)
MICCAI 2014, Part II. LNCS
, vol.8674
, pp. 228-235
-
-
Kandemir, M.1
Zhang, C.2
Hamprecht, F.A.3
-
11
-
-
38149068271
-
Computer aided detection of pulmonary embolism with tobogganing and mutiple instance classification in CT pulmonary angiography
-
In: Karssemeijer, N., Lelieveldt, B. (eds.), Springer, Heidelberg
-
Liang, J., Bi, J.: Computer aided detection of pulmonary embolism with tobogganing and mutiple instance classification in CT pulmonary angiography. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol. 4584, pp. 630-641. Springer, Heidelberg (2007)
-
(2007)
IPMI 2007. LNCS
, vol.4584
, pp. 630-641
-
-
Liang, J.1
Bi, J.2
-
13
-
-
84936769135
-
A novel multiple-instance learning-based approach to computer-aided detection of tuberculosis on chest x-rays
-
Melendez, J., et al.: A novel multiple-instance learning-based approach to computer-aided detection of tuberculosis on chest x-rays. TMI 31(1), 179-192 (2014)
-
(2014)
TMI
, vol.31
, Issue.1
, pp. 179-192
-
-
Melendez, J.1
-
14
-
-
67651159241
-
The Danish randomized lung cancer CT screening trialoverall design and results of the prevalence round
-
Pedersen, J.H., et al.: The Danish randomized lung cancer CT screening trialoverall design and results of the prevalence round. J. Thorac. Oncol. 4(5), 608-614 (2009)
-
(2009)
J. Thorac. Oncol
, vol.4
, Issue.5
, pp. 608-614
-
-
Pedersen, J.H.1
-
15
-
-
1842420581
-
General conditions for predictivity in learning theory
-
Poggio, T., Rifkin, R., Mukherjee, S., Niyogi, P.: General conditions for predictivity in learning theory. Nature 428(6981), 419-422 (2004)
-
(2004)
Nature
, vol.428
, Issue.6981
, pp. 419-422
-
-
Poggio, T.1
Rifkin, R.2
Mukherjee, S.3
Niyogi, P.4
-
16
-
-
84866110731
-
A multiple-instance learning framework for diabetic retinopathy screening
-
Quellec, G., et al.: A multiple-instance learning framework for diabetic retinopathy screening. MedIA 16(6), 1228-1240 (2012)
-
(2012)
Media
, vol.16
, Issue.6
, pp. 1228-1240
-
-
Quellec, G.1
-
17
-
-
84855397195
-
Texture-based analysis of COPD: A data-driven approach
-
Sørensen, L., Nielsen, M., Lo, P., Ashraf, H., Pedersen, J.H., de Bruijne, M.: Texture-based analysis of COPD: a data-driven approach. TMI 31(1), 70-78 (2012)
-
(2012)
TMI
, vol.31
, Issue.1
, pp. 70-78
-
-
Sørensen, L.1
Nielsen, M.2
Lo, P.3
Ashraf, H.4
Pedersen, J.H.5
De Bruijne, M.6
-
18
-
-
84870542273
-
ECG analysis using multiple instance learning for myocardial infarction detection
-
Sun, L., Lu, Y., Yang, K., Li, S.: ECG analysis using multiple instance learning for myocardial infarction detection. IEEE T. Biomed. Eng. 59(12), 3348-3356 (2012)
-
(2012)
IEEE T. Biomed. Eng
, vol.59
, Issue.12
, pp. 3348-3356
-
-
Sun, L.1
Lu, Y.2
Yang, K.3
Li, S.4
-
19
-
-
84864049528
-
Multiple instance boosting for object detection
-
Viola, P., Platt, J., Zhang, C.: Multiple instance boosting for object detection. In: NIPS, pp. 1417-1424 (2005)
-
(2005)
NIPS
, pp. 1417-1424
-
-
Viola, P.1
Platt, J.2
Zhang, C.3
-
20
-
-
84860658409
-
Seeing is believing: Video classification for computed tomographic colonography using multiple-instance learning
-
Wang, S., et al.: Seeing is believing: Video classification for computed tomographic colonography using multiple-instance learning. TMI 31(5), 1141-1153 (2012)
-
(2012)
TMI
, vol.31
, Issue.5
, pp. 1141-1153
-
-
Wang, S.1
-
21
-
-
70450203680
-
A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis
-
Wu, D., Bi, J., Boyer, K.: A min-max framework of cascaded classifier with multiple instance learning for computer aided diagnosis. In: CVPR, pp. 1359-1366 (2009)
-
(2009)
CVPR
, pp. 1359-1366
-
-
Wu, D.1
Bi, J.2
Boyer, K.3
-
22
-
-
84896123432
-
Weakly supervised histopathology cancer image segmentation and classification
-
Xu, Y., et al.: Weakly supervised histopathology cancer image segmentation and classification. MedIA 18(3), 591-604 (2014)
-
(2014)
Media
, vol.18
, Issue.3
, pp. 591-604
-
-
Xu, Y.1
|