A novel cell detection method using deep convolutional neural network and maximum-weight independent set

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9351, Issue , 2015, Pages 349-357

  Liu, Fujun ^a   Yang, Lin ^a  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVOLUTION; CYTOLOGY; IMAGE SEGMENTATION; MEDICAL COMPUTING; MEDICAL IMAGING; NEURAL NETWORKS; SIGNAL DETECTION;

BIOMEDICAL IMAGE ANALYSIS; CLASSIFICATION PROCEDURE; CONVOLUTIONAL NEURAL NETWORK; INDIVIDUAL CELLS; MAXIMUM WEIGHT INDEPENDENT SET PROBLEMS; SUBSET SELECTION; VARYING PARAMETERS; WEIGHT INDEPENDENT SETS;

CELLS;

EID: 84951857819     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24574-4_42     Document Type: Conference Paper

References (11)

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