Computational pathology to discriminate benign from malignant intraductal proliferations of the breast

PLoS ONE

Volumn 9, Issue 12, 2014, Pages

  Dong, Fei ^a,b   Irshad, Humayun ^c   Oh, Eun Yeong ^c   Lerwill, Melinda F ^a   Brachtel, Elena F ^a   Jones, Nicholas C ^a   Knoblauch, Nicholas W ^c   Montaser Kouhsari, Laleh ^c   Johnson, Nicole B ^c   Rao, Luigi K F ^a   Faulkner Jones, Beverly ^c   Wilbur, David C ^a   Schnitt, Stuart J ^c   Beck, Andrew H ^c  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BREAST BIOPSY; BREAST HYPERPLASIA; BREAST LESION; CANCER CLASSIFICATION; CANCER GRADING; CANCER MORPHOLOGY; CELL PROLIFERATION; CLINICAL ARTICLE; COMPUTATIONAL PATHOLOGY; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; EXTERNAL VALIDITY; HISTOPATHOLOGY; HUMAN; HUMAN CELL; HUMAN TISSUE; IMAGE ANALYSIS; INTRADUCTAL CARCINOMA; PATHOLOGIST; PATHOLOGY; PREDICTION; PROCESS DEVELOPMENT; TUMOR DIFFERENTIATION; USUAL DUCTAL HYPERPLASIA; BIOLOGY; BREAST; BREAST TUMOR; CLASSIFICATION; COMPARATIVE STUDY; FEMALE; HYPERPLASIA; IMAGE PROCESSING; PAGET NIPPLE DISEASE; PROCEDURES; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC;

BREAST; BREAST NEOPLASMS; CARCINOMA, DUCTAL, BREAST; CARCINOMA, INTRADUCTAL, NONINFILTRATING; COMPUTATIONAL BIOLOGY; FEMALE; HUMANS; HYPERPLASIA; IMAGE PROCESSING, COMPUTER-ASSISTED; NEOPLASM GRADING; PROGNOSIS; ROC CURVE;

EID: 84918503951     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0114885     Document Type: Article

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