Advances in medical image analysis with vision transformers: a comprehensive review
The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …
has recently also triggered broad interest in Computer Vision. Among other merits …
DFEDC: Dual fusion with enhanced deformable convolution for medical image segmentation
X Fang, Y Pan, Q Chen - Image and Vision Computing, 2024 - Elsevier
Considering the complexity of lesion regions in medical images, current researches relying
on CNNs typically employ large-kernel convolutions to expand the receptive field and …
on CNNs typically employ large-kernel convolutions to expand the receptive field and …
Fusenet: self-supervised dual-path network for medical image segmentation
A Kazerouni, S Karimijafarbigloo… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Semantic segmentation, a crucial task in computer vision, often relies on labor-intensive and
costly annotated datasets for training. In response to this challenge, we introduce FuseNet, a …
costly annotated datasets for training. In response to this challenge, we introduce FuseNet, a …
Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning
S Jarimijafarbigloo, R Azad, A Kazerouni… - Medical Imaging with … - openreview.net
Despite recent successes in semi-supervised learning for natural image segmentation,
applying these methods to medical images presents challenges in obtaining discriminative …
applying these methods to medical images presents challenges in obtaining discriminative …