Recent developments in denoising medical images using deep learning: an overview of models, techniques, and challenges.
Medical imaging plays a critical role in diagnosing and treating various medical conditions.
However, interpreting medical images can be challenging even for expert clinicians, as they …
However, interpreting medical images can be challenging even for expert clinicians, as they …
A systematic literature review: deep learning techniques for synthetic medical image generation and their applications in radiotherapy
MK Sherwani, S Gopalakrishnan - Frontiers in Radiology, 2024 - frontiersin.org
The aim of this systematic review is to determine whether Deep Learning (DL) algorithms
can provide a clinically feasible alternative to classic algorithms for synthetic Computer …
can provide a clinically feasible alternative to classic algorithms for synthetic Computer …
An internet of health things-driven skin cancer classification using progressive cyclical convolutional neural network with ResNexT50 optimized by exponential particle …
KS Bhuvaneshwari, LR Parvathy, K Chatrapathy… - … Signal Processing and …, 2024 - Elsevier
Skin cancer has become more common in the last few decades according to reports by the
World Health Organization. Currently, 1, 32,000 melanoma skin cancer cases and around …
World Health Organization. Currently, 1, 32,000 melanoma skin cancer cases and around …
Node2Node: Self-Supervised Cardiac Diffusion Tensor Image Denoising Method
H Du, N Yuan, L Wang - Applied Sciences, 2023 - mdpi.com
Although the existing cardiac diffusion tensor imaging (DTI) denoising methods have
achieved promising results, most of them are dependent on the number of diffusion gradient …
achieved promising results, most of them are dependent on the number of diffusion gradient …
Möglichkeiten der künstlichen Intelligenz im Strahlenschutz
A Pashazadeh, C Hoeschen - Die Radiologie, 2023 - Springer
Zusammenfassung Klinisch-methodisches Problem Die Bildgebung von Strukturen im
Körperinneren erfordert oft den Einsatz ionisierender Strahlung, die grundsätzlich ein …
Körperinneren erfordert oft den Einsatz ionisierender Strahlung, die grundsätzlich ein …
Opportunities for artificial intelligence in radiation protection: Improving safety of diagnostic imaging
A Pashazadeh, C Hoeschen - Radiologie (Heidelberg, Germany), 2023 - europepmc.org
[Opportunities for artificial intelligence in radiation protection : Improving safety of diagnostic
imaging]. - Abstract - Europe PMC Sign in | Create an account https://orcid.org Europe PMC …
imaging]. - Abstract - Europe PMC Sign in | Create an account https://orcid.org Europe PMC …