The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net-Reference-Cited by-同舟云学术

The Case of Missed Cancers: Applying AI as a Radiologist’s Safety Net

Published:2020 Issue: Volume: Page:220-229
ISSN:0302-9743
Container-title:Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
language:
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Author:

Chorev Michal^ORCID,Shoshan Yoel,Akselrod-Ballin Ayelet,Spiro Adam,Naor Shaked,Hazan Alon,Barros Vesna,Weinstein Iuliana,Herzel Esma,Shalev Varda,Guindy Michal,Rosen-Zvi Michal

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-59725-2_22

Reference18 articles.

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3. Lecture Notes in Computer Science;RM Nishikawa,2016

4. Katalinic, A., Bartel, C., Raspe, H., Schreer, I.: Beyond mammography screening: quality assurance in breast cancer diagnosis (The QuaMaDi Project). Br. J. Cancer 96, 157 (2007)

5. Karssemeijer, N.: Effect of independent double and multiple reading of screening mammograms by breast density. 1136 words (2014). https://doi.org/10.1594/ecr2014/c-0358

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