Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2015-August, Issue , 2015, Pages 947-951

  Xu, Yan ^a,b   Jia, Zhipeng ^b,c   Ai, Yuqing ^b,c   Zhang, Fang ^b,c   Lai, Maode ^d   Chang, Eric I Chao ^b  

^a BEIHANG UNIVERSITY   (China)

^b MICROSOFT RESEARCH   (United States)

^c TSINGHUA UNIVERSITY   (China)

^d ZHEJIANG UNIVERSITY SCHOOL OF MEDICINE   (China)

Author keywords

classification; deep convolutional activation features; deep learning; feature learning; segmentation

Indexed keywords

AUDIO SIGNAL PROCESSING; BRAIN; CHEMICAL ACTIVATION; CLASSIFICATION (OF INFORMATION); CONVOLUTION; DEEP LEARNING; IMAGE CLASSIFICATION; IMAGE RETRIEVAL; MEDICAL IMAGING; SPEECH COMMUNICATION; TUMORS;

CLINICAL FEATURES; DATA AUGMENTATION; DEEP CONVOLUTIONAL ACTIVATION FEATURES; DIGITAL PATHOLOGIES; FEATURE LEARNING; FEATURE POOLING; PARTICIPATING TEAMS; PERFORMANCE GAIN;

IMAGE SEGMENTATION;

EID: 84946045951     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2015.7178109     Document Type: Conference Paper

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