Year: 2024
Type: article
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.
Author: Tejashwini Kotian
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4402938363