Browse by author
Lookup NU author(s): Dr Anando SenORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
There has been immense progress in medical image analysis over the past decade. Methodologies have transitioned from analytical to implementation-based to machine-learning-based techniques. This Special Issue was introduced to showcase the latest innovations in medical image analysis. The focus was on computational applications of medical images. The scope was not limited by the imaging modalities or applications presented. I envisaged a combination of modalities such as planar imaging (e.g., X-ray, planar nuclear imaging), anatomical imaging (e.g., computed tomography [CT], magnetic resonance [MR] imaging), nuclear medicine (e.g., positron emission tomography [PET]), bimodal or multimodal imaging (e.g., PET-CT), as well as pathology. While some applications were listed as examples in the invitation, there were no restrictions on the presented applications as long as they were clinically relevant.
Author(s): Sen A
Publication type: Editorial
Publication status: Published
Journal: Computation
Year: 2024
Volume: 12
Issue: 6
Online publication date: 24/05/2024
Acceptance date: 21/05/2024
ISSN (electronic): 2079-3197
Publisher: MDPI
URL: https://doi.org/10.3390/computation12060109
DOI: 10.3390/computation12060109
