Computational pathology - Transforming diagnosis through machine learning and AI

Computational pathology is a flourishing field at the intersection of pathology, computer science, and artificial intelligence (AI). By leveraging advanced image analysis algorithms, machine learning (ML), and deep learning techniques, computational pathology is poised to revolutionize the diagnostic process in clinical settings. This review article discusses key developments in computational pathology, explores various AI-powered tools used in digital histopathology, and examines the potential benefits and challenges of integrating computational techniques in routine pathology practice.

Authors

Publication Details

Journal
IP Journal of diagnostic pathology and oncology/IP journal of diagnostic pathology and oncology/Journal of diagnostic pathology and oncology
Published
2024-09-15
DOI
https://doi.org/10.18231/j.jdpo.2024.030
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Computational pathology - Transforming diagnosis through machine learning and AI

Tejashwini Kotian
IP Journal of diagnostic pathology and oncology/IP journal of diagnostic pathology and oncology/Journal of diagnostic pathology and oncology
AI in cancer detection
article

Computational pathology - Transforming diagnosis through machine learning and AI

Tejashwini Kotian
article en

Abstract

Computational pathology is a flourishing field at the intersection of pathology, computer science, and artificial intelligence (AI). By leveraging advanced image analysis algorithms, machine learning (ML), and deep learning techniques, computational pathology is poised to revolutionize the diagnostic process in clinical settings. This review article discusses key developments in computational pathology, explores various AI-powered tools used in digital histopathology, and examines the potential benefits and challenges of integrating computational techniques in routine pathology practice.

IP Journal of diagnostic pathology and oncology/IP journal of diagnostic pathology and oncology/Journal of diagnostic pathology and oncologyVol. 9(3)
Openalex Percentile: Top 86%
AI in cancer detection
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