Medical Image Processing Use in Personalized Medicine

Dear Colleagues,

Image processing is still of significant importance in medical applications, particularly in personalized medicine. It is used for preprocessing, postprocessing, content, and information analysis prior to diagnostic tools such as a tumor or abnormal cell segmentation, disease classification, and personalized treatment. Researchers can make advanced deep learning methods more effective using medical image processing techniques and help reveal personalized disease characteristics to make treatments more effective. Therefore, comprehensive analyses could improve diagnostic accuracy and therapeutic decision-making. This Special Issue seeks to bring together different disciplines, such as image processing, computer vision, and medicine, to provide outstanding approaches to personalized medicine and improved patient outcomes.

Dr. Boran Şekeroğlu
Guest Editor

Manuscript Submission Information

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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. Journal of Personalized Medicine 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 2600 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.

• medical image processing
• low-level image preprocessing
• deep learning
• segmentation
• disease classification
• personalized medicine
• bioinformatics