Breast Cancer Detection from Histopathology Images using Machine Learning Techniques: A Bibliometric Analysis

Authors

Shubhangi A. Joshi, Symbiosis Institute of Technology, Symbiosis International (Deemed University), PuneFollow
Anupkumar M. Bongale Dr., Symbiosis Institute of Technology, Symbiosis International (Deemed University), PuneFollow
Arunkumar M. Bongale Dr., Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed) University, PuneFollow

Date of this Version

5-10-2021

Document Type

Article

Abstract

Computer aided diagnosis has become upcoming area of research over past few years. With the advent of machine learning and especially deep learning techniques, the scenario of work flow management in healthcare sector is changing drastically. Artificial intelligence has shown potential in the field of breast cancer care. With datasets for machine learning frameworks getting eventually richer with time, we can definitely get newer insights in the field of breast cancer care. This will help in narrowing down the treatment range for patients and increasing patient survivability. The purpose of this study was to perform bibliometric analysis of the literature in the area of breast cancer detection using machine learning. Analysis was done for various elements like publication types, highly influential authors, most prominent journals, institutional affiliations, main keywords, etc. This analysis may direct future researchers by giving thorough quantitative evaluation of research documents in the field of breast cancer detection using machine learning.