Regenerative random forest with automatic feature selection to detect mitosis in histopathological breast cancer images

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

Volumn 9350, Issue , 2015, Pages 94-102

  Paul, Angshuman ^a   Dey, Anisha ^b   Mukherjee, Dipti Prasad ^a   Sivaswamy, Jayanthi ^b   Tourani, Vijaya ^c  

^a INDIAN STATISTICAL INSTITUTE   (India)

^b INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^c CARE HOSPITAL   (India)

Author keywords

Breast cancer grading; Feature selection; Forest regeneration; Random forest; Tree penalty; Weighted voting

Indexed keywords

CELL MEMBRANES; DECISION TREES; DISEASES; FEATURE EXTRACTION; FORESTRY; GRADING; MEDICAL COMPUTING; MEDICAL IMAGING;

BREAST CANCER GRADING; FOREST REGENERATION; RANDOM FORESTS; TREE PENALTY; WEIGHTED VOTING;

REFORESTATION;

EID: 84951172559     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-24571-3_12     Document Type: Conference Paper

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