Work

A deep learning-based automatic chromosome segmentation method for metaphase cell images

Year: 2025

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2025.110943

Authors: Jenn-Jhy Tseng, Chien-Hsing Lu, Li-Yuan Huang, Wen-Chien Bin, Ming-Jer Chen, Chih-En Kuo

Institutions: Taichung Veterans General Hospital, Hungkuang University, National Chung Hsing University

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Science and Technology Council, Taichung Veterans General Hospital

Awards: Automatic Chromosome Karyotype Analysis System Based on Domain Adaptation Technology and Analysis of Its Cross-Hospital Verification Results, Developing Integrated Artificial Intelligence (Ai) Technology for Precision Sleep Medicine and Conducting Clinical Validation, G8173474716, Develop Cross-Hospital Adaptability and Chromosome Straightening Method of Chromosome Image Identification System Based on Generative Diffusion Model

OpenAlex ID: W4413270281

FWCI: 0.745

Cites: 21

Cited by: 2

Related to: 10