4P 利用深度神经网络从苏木精和伊红预测三阴性乳腺癌分子亚型

IF 10.6 2区 医学 Q1 ONCOLOGY ESMO Open Pub Date : 2024-10-01 Epub Date: 2024-10-18 DOI:10.1016/j.esmoop.2024.103750
N. Occelli , D. Venet , A.J. Garcia , S. Majjaj , M. Carausu , M. Rediti , R. Kammler , M. Colleoni , S. Loi , G. Viale , M. Regan , E. Munzone , L. Gianni , B. Thürlimann , I. Lang , F. Rothé , C. Sotiriou
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4P Predicting triple-negative breast cancer molecular subtype from hematoxylin and eosin using deep neural networks
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来源期刊
ESMO Open
ESMO Open Medicine-Oncology
CiteScore
11.70
自引率
2.70%
发文量
255
审稿时长
10 weeks
期刊介绍: ESMO Open is the online-only, open access journal of the European Society for Medical Oncology (ESMO). It is a peer-reviewed publication dedicated to sharing high-quality medical research and educational materials from various fields of oncology. The journal specifically focuses on showcasing innovative clinical and translational cancer research. ESMO Open aims to publish a wide range of research articles covering all aspects of oncology, including experimental studies, translational research, diagnostic advancements, and therapeutic approaches. The content of the journal includes original research articles, insightful reviews, thought-provoking editorials, and correspondence. Moreover, the journal warmly welcomes the submission of phase I trials and meta-analyses. It also showcases reviews from significant ESMO conferences and meetings, as well as publishes important position statements on behalf of ESMO. Overall, ESMO Open offers a platform for scientists, clinicians, and researchers in the field of oncology to share their valuable insights and contribute to advancing the understanding and treatment of cancer. The journal serves as a source of up-to-date information and fosters collaboration within the oncology community.
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