Algorithms for Medical Image Segmentation

Dear Colleagues,

Medical image segmentation (MIS) is one of the crucial tasks in diagnosis. It also plays an important role in supporting precise medical treatments, especially for surgeries. Conventionally, this job relies on huge manpower to segment the organ or tissue out of the CT/MRI images. Recently, deep learning techniques have opened the possibility to relieve the burden of this task and speed up the processing time of segmentation. For present studies, it is promising that AI technology would largely reduce conventional needs in human power. However, there are still some critical issues with employing deep neural networks: How can we organize a suitable neural network for specific tissue or tumors? How can we train the network? How can we improve extraction efficiency and accuracy on the target object of medical images? In contrast to segmenting objects in pictures, it is rather difficult to recognize tissues or tumors from medical imaging devices. It is for this purpose that Prof. Tran Song Toan and I are launching this Special Issue in Algorithms, which invites papers focusing on new methods, new designs in neural network technology for use in medical pictures, and attempts to improve performance in medical image segmentation.

Finally, I would like to thank Prof. Tran Song Toan for his valuable work in assisting me with this Special Issue.

Dr. Don-Gey Liu
Guest Editor

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. Algorithms 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 1600 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 segmentation
• CT/MRI images
• image processing
• deep neural networks
• medical imaging devices