How to collect segmentations for biomedical images? A benchmark evaluating the performance of experts, crowdsourced non-experts, and algorithms

Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015

Volumn , Issue , 2015, Pages 1169-1176

  Gurari, Danna ^a   Theriault, Diane ^a   Sameki, Mehrnoosh ^a   Isenberg, Brett ^a   Pham, Tuan A ^a   Purwada, Alberto ^a   Solski, Patricia ^a   Walker, Matthew ^a   Zhang, Chentian ^a   Wong, Joyce Y ^a   Betke, Margrit ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CROWDSOURCING; IMAGE ANALYSIS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; NATURAL LANGUAGE PROCESSING SYSTEMS;

AUTOMATED ALGORITHMS; BIOLOGICAL STRUCTURES; BIOMEDICAL IMAGES; FUTURE RESEARCH DIRECTIONS; LABORATORY PROTOCOLS; OVER SEGMENTATION; PRACTICAL GUIDANCE; SEGMENTATION RESULTS;

IMAGE SEGMENTATION;

EID: 84925424641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2015.160     Document Type: Conference Paper

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