Nuclei segmentation via sparsity constrained convolutional regression

Proceedings - International Symposium on Biomedical Imaging

Volumn 2015-July, Issue , 2015, Pages 1284-1287

  Zhou, Yin ^a,d   Chang, Hang ^a,c   Barner, Kenneth E ^d   Parvin, Bahram ^a,b,c  

^a LAWRENCE BERKELEY NATIONAL LABORATORY   (United States)

^b University of Nevada   (United States)

^c University of California Riverside   (United States)

^d UNIVERSITY OF DELAWARE   (United States)

Author keywords

con volutional neural network; H E tissue section; Nuclear Background classification; sparse coding

Indexed keywords

CONVOLUTION; IMAGE SEGMENTATION; MEDICAL IMAGING; NETWORK ARCHITECTURE; PIXELS;

BENCHMARK DATASETS; CLINICAL OUTCOME; COMPETITIVE PERFORMANCE; NUCLEAR ARCHITECTURE; NUCLEI SEGMENTATION; SPARSE CODING; STATE-OF-THE-ART ALGORITHMS; TISSUE SECTIONS;

BIOINFORMATICS;

EID: 84944327102     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2015.7164109     Document Type: Conference Paper

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