Deep Learning and Explainable Artificial Intelligence for Medical Image Analysis

Dear Colleagues,

Deep Learning has revolutionized the medical imaging field in the last decade. The possibility to automatically extract hierarchical feature representation from raw data has facilitated the development of algorithms for Medical Image Analysis, in different Computer Vision tasks such as classification, localization, segmentation, object detection, instance segmentation, and many more. On the other hand, despite the success of Deep Learning models, the hidden decision-making mechanism is hindering their deployment in clinical practice, where interpretability holds paramount significance for specialists. Explainable Artificial Intelligence (XAI) offers the possibility to unveil the black-box nature of Deep Learning models to build trust between the Deep Learning models and the clinicians. Furthermore, the quantitative and qualitative measures to evaluate the XAI methods are indispensable to unleash the full potential of Deep Learning in healthcare.

Hence, we welcome novel research articles, as well as comprehensive reviews and survey articles, spanning the applications of Deep Learning and XAI in Medical Image Analysis.

Topics of interest include, but are not limited to:

• Deep Learning for Medical Image Analysis
• Explainable Artificial Intelligence
• Intelligent Imaging Systems
• Clinical Decision Support Systems
• Computer-Aided Diagnosis Systems
• Autonomous Healthcare Systems
• Evaluation of XAI in Medical Imaging
• Expert Systems based on Convolutional Neural Networks
• Vision Transformers for Medical Image Understanding

Dr. Sardar Mehboob Hussain
Dr. Nicola Altini
Dr. Danilo Avola
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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.