Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study-Reference-Cited by-同舟云学术

Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study

Published:2021-10-15 Issue: Volume: Page:
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Gu Jionghui,Tong Tong,He Chang,Xu Min,Yang Xin,Tian Jie,Jiang Tianan,Wang Kun^ORCID

Funder

Ministry of Science and Technology

Key Technologies Research and Development Program

National Natural Science Foundation of China

Chinese Academy of Sciences

Youth Innovation Promotion Association CAS

Project of High-Level Talents Team Introduction in Zhuhai City

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-021-08293-y.pdf

Reference34 articles.

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4. Brackstone M, Fletcher GG, Dayes IS, Madarnas Y, SenGupta SK, Verma S (2015) Locoregional therapy of locally advanced breast cancer: a clinical practice guideline. Curr Oncol 22:S54-66

5. Derks MGM, van de Velde CJH (2018) Neoadjuvant chemotherapy in breast cancer: more than just downsizing. Lancet Oncol 19:2–3

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