Article

STATISTICAL LOCAL BINARY PATTERNS (SLBP): APPLICATION TO PROSTATE CANCER GLEASON SCORE PREDICTION FROM WHOLE SLIDE PATHOLOGY IMAGES

2018-12-20

Abstract excerpt

Computerized whole slide image analysis is important for assisting pathologists in cancer grading and predicting patient clinical outcomes. However, it is challenging to analyze whole slide image (WSI) at cellular level due to its huge size and nuclear variations. For efficient WSI analysis, this paper presents a general texture descriptor, statistical local binary patterns (SLBP), which is applied to prostate can...

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Literature Corpus work: e3a7e231-c074-50fa-adc7-af99f0e4a42e
DOI: 10.1101/503094

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