Work

S2529 Harnessing Deep Learning for Precision in Liver Tumor Segmentation: A Meta-Analysis of Performance Across Benchmark CT Datasets

Year: 2025

Type: review

Study designs: Systematic Review, Meta-Analysis

Source: The American Journal of Gastroenterology

DOI: 10.14309/01.ajg.0001137576.92978.a9

Authors: Krishna Teja Vemulaghat, Sahithi Gopu, Bhavana Korlakunta, Nishmitha Puchakayala, Deekshith Ameer Shaik, Balakrishnan Kamaraj

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4417239702

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