From post

Interpretable deep learning models for better clinician-AI communication in clinical mammography.

, , , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 12035 из SPIE Proceedings, SPIE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Mapping the Ictal-Interictal-Injury Continuum Using Interpretable Machine Learning., , , , , и . CoRR, (2022)IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography., , , , , , и . CoRR, (2021)A user interface to communicate interpretable AI decisions to radiologists., , , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 12467 из SPIE Proceedings, SPIE, (2023)Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes., , и . CVPR, стр. 10255-10265. IEEE, (2022)Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes., , и . CoRR, (2021)ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges., , , , , , , , , и 1 other автор(ы). CoRR, (2023)Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning., , , , , , и . CoRR, (2021)Interpretable deep learning models for better clinician-AI communication in clinical mammography., , , , , , , и . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, том 12035 из SPIE Proceedings, SPIE, (2022)Interpretable Machine Learning With Medical Applications.. Duke University, Durham, NC, USA, (2023)base-search.net (ftdukeunivdsp:oai:localhost:10161/29171).A case-based interpretable deep learning model for classification of mass lesions in digital mammography., , , , , , и . Nat. Mach. Intell., 3 (12): 1061-1070 (2021)