Work

Semi-Supervised Learning for Foetal Anomaly Detection Using Limited Annotated Ultrasound

Year: 2025

Type: conference-paper

Source: Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)

DOI: 10.1109/accthpa65749.2025.11168653

Authors: Ms. Jency Thomas, Paul P Mathai

Institution: Federal Institute of Science and Technology

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

Funder: APJ Abdul Kalam Technological University

OpenAlex ID: W4414458871

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Cites: 6

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