Accurate Prediction of Neoadjuvant Chemotherapy Pathological Complete Remission (pCR) for the Four Sub-Types of Breast Cancer

Author:

Feng XinORCID,Song Lelian,Wang Shaofei,Song Haoqiu,Chen Hang,Liu Yuxuan,Lou Chenwei,Zhao Jian,Liu Quewang,Liu Yang,Zhao Ruixue,Xing Kai,Li Sijie,Yu Yunhe,Liu Zhenyu,Yin Chengyang,Han Bing,Du Ye,Xin Ruihao,Huang Lan,Fan Zhimin,Zhou FengfengORCID

Funder

Chinese Academy of Sciences

Jilin Provincial Key Laboratory of Big Data Intelligent Computing

Education Department of Jilin Province

Jilin University

Bioknow MedAI Institute

High Performance Computing Center, Jilin University, China

Multicenter Clinical Cohort Study of Breast Cancer

Breast Cancer biological Sample Database and Clinical Diagnosis and Treatment Information Database Construction

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

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1. Classification of Breast Cancer Using Computational Machine Learning Algorithms;Lecture Notes in Electrical Engineering;2024

2. A Review on Computational Methods for Breast Cancer Detection in Ultrasound Images Using Multi-Image Modalities;Archives of Computational Methods in Engineering;2023-11-03

3. Using NSCTS and DCNN, Rapid Prediction and Forecasting of Breast Cancer;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

4. Cancer Prediction using Adaptive Boosting Tech Web App;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

5. Cancer Detection in Highly Dense Breasts using Coherently Focused Time versa Microwave Imaging and Using Warm-Boot Random Forest Classifier;2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS);2023-02-24

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