Research Topic · Peer-Reviewed

Computer or Model-aided Medical Images Processing

Computer or model-aided medical image processing is a method of analysing and manipulating medical images such as X-rays, CT scans, MRI's and ultrasounds, to aid in the diagnosis and treatment of conditions. This technique incorporates advanced algorithms and automated computer processes that can extract information…

📚 0 peer-reviewed articles cited 🔖 ISSN 2768-0207 🗓 Reviewed June 2026

Overview

Computer or model-aided medical image processing is a method of analysing and manipulating medical images such as X-rays, CT scans, MRI's and ultrasounds, to aid in the diagnosis and treatment of conditions. This technique incorporates advanced algorithms and automated computer processes that can extract information from the images more quickly and accurately than when done manually. Such information can help detect diseases more accurately, as well as providing advantages for other medical procedures, such as surgical planning and treatment. Furthermore, the use of computer or model-aided medical image processing can improve the accuracy and decrease the cost of medical services. In summary, computer or model-aided medical image processing is an essential tool in medical diagnosis and treatment that can offer significant advantages over manual methods.

Research published in this journal

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Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.