AI Technologies in Biomedical Image Processing and Analysis

Dear Colleagues,

Medical imaging is developing rapidly thanks to enormous progress achieved in image processing and analysis. Such developments are largely due to AI: by simplifying data interpretation through sophisticated mathematical algorithms, AI has shown, in recent years, to be capable of assisting radiologists and clinicians in detecting diseases, assessing severity and prognosis, or automatically recognizing and quantifying disease features.

AI is becoming a valuable tool that, on one hand, if combined with the human expertise of radiologists and clinicians, may offer vast potential to the healthcare industry. On the other hand, MDs wants to have insight into how the algorithms or outcomes are calculated instead of just seeing an AI black box.

This Special Issue will focus on AI-based solutions and technologies developed to meet the challenges of biomedical image processing and analysis. It will identify innovative AI-based approaches for disease detection, diagnosis, severity assessment and prognosis prediction.

In addition, it will highlight the potential and the limitations of such AI-based solutions in improving the quality and the accuracy of medical image-based diagnosis in current and future applications.

The Special Issue will welcome submissions of original research articles, case studies, and critical reviews.

Dr. Danila Germanese
Dr. Maria Antonietta Pascali
Dr. Lorenzo Faggioni
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.