Machine learning methods for histopathological image analysis

TL;DR

This paper reviews machine learning techniques applied to digital histopathological image analysis, discussing challenges specific to this domain and proposing potential solutions for improved computer-aided diagnosis.

Contribution

It provides a comprehensive overview of current machine learning applications in histopathology and addresses domain-specific issues with suggested solutions.

Findings

Identifies key challenges in histopathological image analysis.

Summarizes existing machine learning approaches and their effectiveness.

Proposes potential solutions to improve analysis accuracy.

Abstract

Abundant accumulation of digital histopathological images has led to the increased demand for their analysis, such as computer-aided diagnosis using machine learning techniques. However, digital pathological images and related tasks have some issues to be considered. In this mini-review, we introduce the application of digital pathological image analysis using machine learning algorithms, address some problems specific to such analysis, and propose possible solutions.