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Volumn 10265 LNCS, Issue , 2017, Pages 146-147

Unsupervised anomaly detection with generative adversarial networks to guide marker discovery

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; OPTICAL TOMOGRAPHY;

EID: 85020524815     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-59050-9_12     Document Type: Conference Paper
Times cited : (2252)

References (18)
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    • 84990030923 scopus 로고    scopus 로고
    • A discriminative framework for anomaly detection in large videos
    • Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.), Springer, Cham
    • Del Giorno, A., Bagnell, J.A., Hebert, M.: A discriminative framework for anomaly detection in large videos. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9909, pp. 334-349. Springer, Cham (2016). doi:10.1007/978-3-319-46454-1_21
    • (2016) ECCV 2016. LNCS , vol.9909 , pp. 334-349
    • Del Giorno, A.1    Bagnell, J.A.2    Hebert, M.3
  • 2
    • 84905921087 scopus 로고    scopus 로고
    • An overview of background modeling for detection of targets and anomalies in hyperspectral remotely sensed imagery
    • Matteoli, S., Diani, M., Theiler, J.: An overview of background modeling for detection of targets and anomalies in hyperspectral remotely sensed imagery. IEEE J. Selected Top. Appl. Earth Obs. Remote Sens. 7(6), 2317-2336 (2014)
    • (2014) IEEE J. Selected Top. Appl. Earth Obs. Remote Sens. , vol.7 , Issue.6 , pp. 2317-2336
    • Matteoli, S.1    Diani, M.2    Theiler, J.3
  • 4
    • 84992311617 scopus 로고    scopus 로고
    • High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
    • Erfani, S.M., Rajasegarar, S., Karunasekera, S., Leckie, C.: High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. Pattern Recognit. 58, 121-134 (2016)
    • (2016) Pattern Recognit. , vol.58 , pp. 121-134
    • Erfani, S.M.1    Rajasegarar, S.2    Karunasekera, S.3    Leckie, C.4
  • 7
    • 84983548350 scopus 로고    scopus 로고
    • Predicting semantic descriptions from medical images with convolutional neural networks
    • Ourselin, S., Alexander, D.C., Westin, C.-F., Cardoso, M.J. (eds.), Springer, Cham
    • Schlegl, T., Waldstein, S.M., Vogl, W.-D., Schmidt-Erfurth, U., Langs, G.: Predicting semantic descriptions from medical images with convolutional neural networks. In: Ourselin, S., Alexander, D.C., Westin, C.-F., Cardoso, M.J. (eds.) IPMI 2015. LNCS, vol. 9123, pp. 437-448. Springer, Cham (2015). doi:10.1007/978-3-319-19992-434
    • (2015) IPMI 2015. LNCS , vol.9123 , pp. 437-448
    • Schlegl, T.1    Waldstein, S.M.2    Vogl, W.-D.3    Schmidt-Erfurth, U.4    Langs, G.5
  • 15
    • 73849122331 scopus 로고    scopus 로고
    • Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images
    • Garvin, M.K., Abramoff, M.D., Wu, X., Russell, S.R., Burns, T.L., Sonka, M.:Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images. IEEE Trans. Med. Imaging 28(9), 1436-1447 (2009)
    • (2009) IEEE Trans. Med. Imaging , vol.28 , Issue.9 , pp. 1436-1447
    • Garvin, M.K.1    Abramoff, M.D.2    Wu, X.3    Russell, S.R.4    Burns, T.L.5    Sonka, M.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.