A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers-Reference-Cited by-同舟云学术

A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers

Published:2017-02-13 Issue:6 Volume:91 Page:566-573
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

Romo-Bucheli David¹,Janowczyk Andrew²,Gilmore Hannah³,Romero Eduardo¹,Madabhushi Anant²

Affiliation:

1. Engineering Faculty; Universidad Nacional de Colombia; Bogotá DC Colombia

2. Biomedical Engineering Department; Case Western Reserve University; Cleveland Ohio

3. Department of Pathology; University Hospitals Cleveland Medical Center; Cleveland Ohio

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference24 articles.

1. Comprehensive Histologic Scoring to Maximize the Predictability of Pathology-generated Equation of Breast Cancer Oncotype DX Recurrence Score;Khoury;Appl Immunohistochem Mol Morphol,2016

2. The 21-gene recurrence score complements IBTR! Estimates in early-stage, hormone receptor-positive, HER2-normal, lymph node-negative breast cancer;Thaker;Springerplus,2015

3. Comparison of Oncotype DX and Mammostrat risk estimations and correlations with histologic tumor features in low-grade, estrogen receptor-positive invasive breast carcinomas;Acs;Mod Pathol,2013

4. Histologic grading of breast carcinoma. A reproducibility study;Dalton;Cancer,1994

5. Tumors of the Breast

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development and validation of a clinical breast cancer tool for accurate prediction of recurrence;npj Breast Cancer;2024-06-15

2. Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer;Expert Review of Molecular Diagnostics;2024-05-03

3. Multimodal histopathologic models stratify hormone receptor-positive early breast cancer;2024-02-28

4. Differentiation and risk stratification of basal cell carcinoma with deep learning on histopathologic images and measuring nuclei and tumor microenvironment features;Skin Research and Technology;2024-01

5. AI-enabled routine H&E image based prognostic marker for early-stage luminal breast cancer;npj Precision Oncology;2023-11-15