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Volumn 9901 LNCS, Issue , 2016, Pages 460-468

Topology aware fully convolutional networks for histology gland segmentation

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; ENCODING (SYMBOLS); HISTOLOGY; IMAGE SEGMENTATION; MEDICAL IMAGING; OBJECT RECOGNITION; TOPOLOGY;

EID: 84996552025     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-46723-8_53     Document Type: Conference Paper
Times cited : (171)

References (15)
  • 2
    • 77953207227 scopus 로고    scopus 로고
    • Globally optimal segmentation of multi-region objects
    • Delong,A.,Boykov,Y.: Globally optimal segmentation of multi-region objects. In: ICCV,pp. 285-292 (2009)
    • (2009) ICCV , pp. 285-292
    • Delong, A.1    Boykov, Y.2
  • 3
    • 84906513601 scopus 로고    scopus 로고
    • Large-scale object classification using label relation graphs
    • Fleet,D.,Pajdla,T.,Schiele,B.,Tuytelaars,T. (eds.),Springer,Heidelberg
    • Deng,J.,Ding,N.,Jia,Y.,Frome,A.,Murphy,K.,Bengio,S.,Li,Y.,Neven,H.,Adam,H.: Large-scale object classification using label relation graphs. In: Fleet,D.,Pajdla,T.,Schiele,B.,Tuytelaars,T. (eds.) ECCV 2014. LNCS,vol. 8689,pp. 48-64. Springer,Heidelberg (2014). doi:10.1007/978-3-319-10590-1_4
    • (2014) ECCV 2014. LNCS , vol.8689 , pp. 48-64
    • Deng, J.1    Ding, N.2    Jia, Y.3    Frome, A.4    Murphy, K.5    Bengio, S.6    Li, Y.7    Neven, H.8    Adam, H.9
  • 4
    • 0026072872 scopus 로고
    • Pathological prognostic factors in breast cancer. The value of histological grade in breast cancer: Experience from a large study with long-term follow-up
    • Elston,C.W.,Ellis,I.O.: Pathological prognostic factors in breast cancer. the value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology 19(5),403-410 (1991)
    • (1991) Histopathology , vol.19 , Issue.5 , pp. 403-410
    • Elston, C.W.1    Ellis, I.O.2
  • 5
    • 70450285290 scopus 로고    scopus 로고
    • Automatic segmentation of colon glands using object-graphs
    • Gunduz-Demir,C.,Kandemir,M.,Tosun,A.B.,Sokmensuer,C.: Automatic segmentation of colon glands using object-graphs. MedIA 14(1),1-12 (2010)
    • (2010) Media , vol.14 , Issue.1 , pp. 1-12
    • Gunduz-Demir, C.1    Kandemir, M.2    Tosun, A.B.3    Sokmensuer, C.4
  • 6
    • 7444271447 scopus 로고    scopus 로고
    • Gleason grading and prognostic factors in carcinoma of the prostate. Mod
    • Humphrey,P.A.: Gleason grading and prognostic factors in carcinoma of the prostate. Mod. Pathol. 17(3),292-306 (2004)
    • (2004) Pathol , vol.17 , Issue.3 , pp. 292-306
    • Humphrey, P.A.1
  • 7
    • 84913580146 scopus 로고    scopus 로고
    • Caffe: Convolutional architecture for fast feature embedding
    • Jia,Y.,et al.: Caffe: Convolutional architecture for fast feature embedding. In: ACM Multimedia,pp. 675-678 (2014)
    • (2014) ACM Multimedia , pp. 675-678
    • Jia, Y.1
  • 8
    • 84945230598 scopus 로고    scopus 로고
    • Fully convolutional networks for semantic segmentation
    • Long,J.,Shelhamer,E.,Darrell,T.: Fully convolutional networks for semantic segmentation. In: CVPR,pp. 3431-3440 (2015)
    • (2015) CVPR , pp. 3431-3440
    • Long, J.1    Shelhamer, E.2    Darrell, T.3
  • 9
    • 84973879016 scopus 로고    scopus 로고
    • Learning deconvolution network for semantic segmentation
    • Noh,H.,Hong,S.,Han,B.: Learning deconvolution network for semantic segmentation. In: CVPR,pp. 1520-1528 (2015)
    • (2015) CVPR , pp. 1520-1528
    • Noh, H.1    Hong, S.2    Han, B.3
  • 10
    • 84898772481 scopus 로고    scopus 로고
    • Bounded labeling function for global segmentation of multi-part objects with geometric constraints
    • Nosrati,M.S.,Andrews,S.,Hamarneh,G.: Bounded labeling function for global segmentation of multi-part objects with geometric constraints. In: IEEE ICCV,pp. 2032-2039 (2013)
    • (2013) IEEE ICCV , pp. 2032-2039
    • Nosrati, M.S.1    Rews, S.2    Hamarneh, G.3
  • 11
    • 84906849753 scopus 로고    scopus 로고
    • Local optimization based segmentation of spatiallyrecurring,multi-region objects with part configuration constraints
    • Nosrati,M.S.,Hamarneh,G.: Local optimization based segmentation of spatiallyrecurring,multi-region objects with part configuration constraints. TMI 33(9),1845-1859 (2014)
    • (2014) TMI , vol.33 , Issue.9 , pp. 1845-1859
    • Nosrati, M.S.1    Hamarneh, G.2
  • 12
    • 84951834022 scopus 로고    scopus 로고
    • U-Net: Convolutional networks for biomedical image segmentation
    • Navab,N.,Hornegger,J.,Wells,W.M.,Frangi,A.F. (eds.),Springer,Heidelberg
    • Ronneberger,O.,Fischer,P.,Brox,T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab,N.,Hornegger,J.,Wells,W.M.,Frangi,A.F. (eds.) MICCAI 2015. LNCS,vol. 9351,pp. 234-241. Springer,Heidelberg (2015). doi:10.1007/978-3-319-24574-4_28
    • (2015) MICCAI 2015. LNCS , vol.9351 , pp. 234-241
    • Ronneberger, O.1    Fischer, P.2    Brox, T.3
  • 14
    • 84955289509 scopus 로고    scopus 로고
    • A stochastic polygons model for glandular structures in colon histology images
    • Sirinukunwattana,K.,Snead,D.,Rajpoot,N.M.: A stochastic polygons model for glandular structures in colon histology images. TMI 34(11),2366-2378 (2015)
    • (2015) TMI , vol.34 , Issue.11 , pp. 2366-2378
    • Sirinukunwattana, K.1    Snead, D.2    Rajpoot, N.M.3
  • 15
    • 84973861983 scopus 로고    scopus 로고
    • Conditional random fields as recurrent neural networks
    • Zheng,S.,et al.: Conditional random fields as recurrent neural networks. In: ICCV,pp. 1529-1537 (2015)
    • (2015) ICCV , pp. 1529-1537
    • Zheng, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.