Histological Classification of Breast Cancers Detected on Breast MR Examinations using Inductive Machine Learning Techniques

Domain:

healthcare

Record type:

paper

Creator:

Pan

Editor:

DOUKarDouBou

Publisher:

Eur

Host:

Purpose Methods and materials Results Conclusion Personal information and conflict of interest References Purpose: Developing decision support systems that assist radiologists in accurate diagnoses and improving the medical decision-making process has always been a challenge.This research field aims at the development of intelligent systems for the analysis of...

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doi.org epos.myesr.org

Tasks

computer vision image classification

Classification of Ki-67 Breast Cancer Biomarker using Inductive Machine Learning Techniques from Breast MR Data

Purpose Methods and materials Results Conclusion Personal information and conflict of interest Refer

Machine Learning Techniques for Breast Cancer Prediction

Breast cancer is the most trending type of cancer globally with close to two and half million cases