Radiomics Analysis of Intratumoral and Various Peritumoral Regions From Automated Breast Volume Scanning for Accurate Ki-67 Prediction in Breast Cancer Using Machine Learning-Reference-Cited by-同舟云学术

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Radiomics Analysis of Intratumoral and Various Peritumoral Regions From Automated Breast Volume Scanning for Accurate Ki-67 Prediction in Breast Cancer Using Machine Learning

Published:2024-09 Issue: Volume: Page:
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Hu Bin^ORCID,Xu Yanjun,Gong Huiling,Tang Lang,Li Hongchang

Publisher

Elsevier BV

Reference35 articles.

1. Ki-67 as a prognostic biomarker in invasive breast cancer;Davey;Cancers,2021

2. The evolution of Ki-67 and breast carcinoma: past observations, present directions, and future considerations;Finkelman;Cancers,2023

3. Assessment of Ki67 in breast cancer: recommendations from the international Ki67 in breast cancer working group;Dowsett;J Natl Cancer Inst,2011

4. Concordance of immunohistochemistry for predictive and prognostic factors in breast cancer between biopsy and surgical excision: a single-centre experience and review of the literature;Rossi;Breast Cancer Res Treat,2023

5. Breast cancer heterogeneity;Fumagalli;Diagnostics,2021

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