Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy-Reference-Cited by-同舟云学术

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Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy

Published:2024-09 Issue: Volume:178 Page:111624
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Förnvik Daniel,Borgquist Signe,Larsson Måns,Zackrisson Sophia,Skarping Ida^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. Neoadjuvant management of early breast cancer: a clinical and investigational position statement;Colomer;Oncologist,2019

2. Post-neoadjuvant treatment and the management of residual disease in breast cancer: state of the art and perspectives;Caparica;Ther. Adv. Med. Oncol.,2019

3. Changes in chemotherapy usage and outcome of early breast cancer patients in the last decade;Hennigs;Breast Cancer Res. Treat.,2016

4. Breast MRI for evaluation of response to neoadjuvant therapy;Reig;Radiographics,2021

5. Digital breast tomosynthesis: concepts and clinical practice;Chong;Radiology,2019

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