Domain generalization for medical image analysis: A survey
Medical Image Analysis (MedIA) has become an essential tool in medicine and healthcare,
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …
Deep learning algorithms for pancreas segmentation from radiology scans: A review
The pancreas is a vital glandular organ in the abdomen that plays an essential role in
digestion and metabolism [1, 2]. The pancreas has two parts, including exocrine and …
digestion and metabolism [1, 2]. The pancreas has two parts, including exocrine and …
Towards contrast-agnostic soft segmentation of the spinal cord
Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord
cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or …
cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or …
Emit-diff: Enhancing medical image segmentation via text-guided diffusion model
Large-scale, big-variant, and high-quality data are crucial for developing robust and
successful deep-learning models for medical applications since they potentially enable …
successful deep-learning models for medical applications since they potentially enable …
A Survey on Domain Generalization for Medical Image Analysis
Z Niu, S Ouyang, S Xie, Y Chen, L Lin - arXiv preprint arXiv:2402.05035, 2024 - arxiv.org
Medical Image Analysis (MedIA) has emerged as a crucial tool in computer-aided diagnosis
systems, particularly with the advancement of deep learning (DL) in recent years. However …
systems, particularly with the advancement of deep learning (DL) in recent years. However …
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
Large-scale, big-variant, high-quality data are crucial for developing robust and successful
deep-learning models for medical applications since they potentially enable better …
deep-learning models for medical applications since they potentially enable better …
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation
Y Fu, Z Chen, Y Ye, X Lei, Z Wang, Y Xia - arXiv preprint arXiv:2411.10136, 2024 - arxiv.org
Medical images often exhibit distribution shifts due to variations in imaging protocols and
scanners across different medical centers. Domain Generalization (DG) methods aim to train …
scanners across different medical centers. Domain Generalization (DG) methods aim to train …
Domain Generalization for Medical Image Analysis: A Review
Medical image analysis (MedIA) has become an essential tool in medicine and healthcare,
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …
aiding in disease diagnosis, prognosis, and treatment planning, and recent successes in …
Domain Generalization with fourier Transform and soft thresholding
Domain generalization aims to train models on multiple source domains so that they can
generalize well to unseen target domains. Among many domain generalization methods …
generalize well to unseen target domains. Among many domain generalization methods …