Artificial intelligence–based breast cancer nodal metastasis detection insights into the black box for pathologists

Archives of Pathology and Laboratory Medicine

Volumn 143, Issue 7, 2019, Pages 859-868

  Liu, Yun ^a   Kohlberger, Timo ^a   Norouzi, Mohammad ^a   Dahl, George E ^a   Smith, Jenny L ^b   Mohtashamian, Arash ^b   Olson, Niels ^b   Peng, Lily H ^a   Hipp, Jason D ^a   Stumpe, Martin C ^a  

^a GOOGLE INC   (United States)

^b NAVAL MEDICAL CENTER SAN DIEGO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; LYMPH NODE METASTASIS; PATHOLOGIST; PATHOLOGY; PROCEDURES; SENTINEL LYMPH NODE BIOPSY;

BREAST NEOPLASMS; DEEP LEARNING; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LYMPHATIC METASTASIS; PATHOLOGISTS; PATHOLOGY, CLINICAL; SENTINEL LYMPH NODE BIOPSY;

EID: 85068564023     PISSN: 00039985     EISSN: 15432165     Source Type: Journal    
DOI: 10.5858/arpa.2018-0147-OA     Document Type: Article

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