An automatic breast cancer grading method in histopathological images based on pixel-, object-, and semantic-level features

Proceedings - International Symposium on Biomedical Imaging

Volumn 2016-June, Issue , 2016, Pages 1151-1154

  Cao, Jiajia ^a   Qin, Zengchang ^a   Jing, Juan ^a   Chen, Jianhui ^b   Wan, Tao ^a  

^a BEIHANG UNIVERSITY   (China)

^b No 91 Central Hospital of PLA   (China)

Author keywords

breast cancer grading; convolutional neural networks; histopathology; multi level features

Indexed keywords

CONVOLUTION; DISEASES; GRADING; IMAGE PROCESSING; IMAGE SEGMENTATION; MACROS; NEURAL NETWORKS; NUMERICAL METHODS; PIXELS; SEMANTICS;

BREAST CANCER GRADING; CONVOLUTIONAL NEURAL NETWORK; HISTOPATHOLOGICAL IMAGES; HISTOPATHOLOGY; MULTILEVELS; MULTIPLE LEVEL FEATURES; SEGMENTATION METHODS; SUPPORT VECTOR MACHINE CLASSIFIERS;

MEDICAL IMAGING;

EID: 84978419938     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2016.7493470     Document Type: Conference Paper

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