Machine Learning-Aided Medical Image Analysis

Dear Colleagues,

We are witnessing an unprecedented era in medical imaging, where machine learning (ML) plays a crucial role in transforming diagnostic methodologies, enhancing automated image analysis, and ultimately improving patient outcomes. The integration of ML into medical image analysis has opened new frontiers in identifying, classifying, and quantifying patterns in medical images.

The aim of this Special Issue, titled "Machine Learning-Aided Medical Image Analysis", is to showcase the latest advances in machine learning technologies that push the boundaries of medical image analysis. We invite contributions demonstrating the innovative use of machine learning approaches across various tasks in medical imaging. This includes, but is not limited to, image classification, semantic or instance segmentation, the development of interpretable artificial intelligence (AI)-based systems, radiomics-based image analysis, and the application of robust pre- and post-processing techniques to boost diagnostic accuracy and efficiency. Moreover, submissions exploring novel applications of machine learning in emerging imaging modalities, interdisciplinary studies combining ML with other fields (e.g., genomics, pathology), and studies focusing on the ethical considerations of using artificial intelligence in medical imaging are also welcome.

By bringing together the latest developments in machine learning innovations and the critical domain of medical image analysis, we look forward to contributions that ignite further research and pave the way for next-generation diagnostic and therapeutic techniques.

Dr. Amirreza Mahbod
Prof. Dr. Ramona Woitek
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Bioengineering 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 2700 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.

• artificial intelligence
• deep learning
• machine learning
• medical image analysis
• medical imaging