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 …
J Egger, D Wild, M Weber, CAR Bedoya, F Karner… - Journal of digital …, 2022 - Springer
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 …
D Chicco, R Shiradkar - PLoS computational biology, 2023 - journals.plos.org
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 …
RR Yellu, Y Kukalakunta, P Thunki - Journal of Artificial …, 2024 - aimlstudies.co.uk
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 …