Analyzing to discover origins of CNNs and ViT architectures in medical images
In this paper, we introduce in-depth the analysis of CNNs and ViT architectures in medical
images, with the goal of providing insights into subsequent research direction. In particular …
images, with the goal of providing insights into subsequent research direction. In particular …
Multistage transfer learning for medical images
Deep learning is revolutionizing various domains and significantly impacting medical image
analysis. Despite notable progress, numerous challenges remain, necessitating the …
analysis. Despite notable progress, numerous challenges remain, necessitating the …
On the Use of Perceptual Loss for Fine Structure Generation: Illustration on Lung MR to CT Synthesis
A Longuefosse, BD De Senneville… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The use of perceptual loss has emerged as a prominent technique for enhancing image-to-
image translation tasks by capturing high-level visual similarities between the ground truth …
image translation tasks by capturing high-level visual similarities between the ground truth …
Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging
Transfer learning has become an essential part of medical imaging classification algorithms,
often leveraging ImageNet weights. However, the domain shift from natural to medical …
often leveraging ImageNet weights. However, the domain shift from natural to medical …