Introduction Medical image analysis is of tremendous importance in serving clinical
diagnosis, treatment planning, as well as prognosis assessment. However, the image …

Medical Imaging (MI) plays a crucial role in healthcare, including disease diagnosis,
treatment, and continuous monitoring. The integration of non-invasive techniques such as X …

Imaging modalities such as computed tomography (CT) and magnetic resonance imaging
(MRI) are widely used in diagnostics, clinical studies, and treatment planning. Automatic …

Amide's a Medical Image Data Examiner (AMIDE) has been developed as a user-friendly,
open-source software tool for displaying and analyzing multimodality volumetric medical …

The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …

Medical imaging is a great asset for modern medicine, since it allows physicians to spatially
interrogate a disease site, resulting in precise intervention for diagnosis and treatment, and …

Abstract Background and Objective: Deep learning enables tremendous progress in medical
image analysis. One driving force of this progress are open-source frameworks like …

This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …

Medical image analysis plays a crucial role in modern healthcare, enabling clinicians to
visualize and interpret complex medical data for diagnosis, treatment planning, and image …

In this paper, we summarize a global survey of 484 participants of the imaging community,
conducted in 2020 through the NIH-funded Center for Open Bioimage Analysis (COBA). This …