A Systematic Survey on Segmentation Algorithms for Musculoskeletal Tissues in Ultrasound Imaging
AH Ramakrishnan, M Rajappa, K Kirthivasan… - … Methods in Engineering, 2024 - Springer
Ultrasound imaging is widely used for the clinical assessment and study of musculoskeletal
tissues because of its capacity for real-time imaging, low cost, high availability and …
tissues because of its capacity for real-time imaging, low cost, high availability and …
Random color transformation for single domain generalized retinal image segmentation
S Guo, K Ji - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Fundus examination, conducted through the analysis of retinal images, plays a pivotal role
in aiding the diagnosis of ophthalmic diseases. Currently, deep learning models have been …
in aiding the diagnosis of ophthalmic diseases. Currently, deep learning models have been …
Structure-aware single-source generalization with pixel-level disentanglement for joint optic disc and cup segmentation
JX Jiang, Y Li, Z Wang - Biomedical Signal Processing and Control, 2025 - Elsevier
Deploying deep segmentation models in new medical centers poses a significant challenge
due to statistical disparities between source and unknown domains. Recent advancements …
due to statistical disparities between source and unknown domains. Recent advancements …
RandStainNA++: Enhance Random Stain Augmentation and Normalization through Foreground and Background Differentiation
C Wang, S Li, J Ke, C Zhang… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The wide prevalence of staining variations in digital pathology presents a significant
obstacle, often undermining the effectiveness of diagnosis and analysis. The current …
obstacle, often undermining the effectiveness of diagnosis and analysis. The current …
Generalizable Polyp Segmentation via Randomized Global Illumination Augmentation
Z Zhang, Y Li, BS Shin - IEEE Journal of Biomedical and …, 2024 - ieeexplore.ieee.org
Accuratelysegmenting polyps from colonoscopy images is essential for diagnosing
colorectal cancer. Despite the tremendous success of the deep convolutional neural …
colorectal cancer. Despite the tremendous success of the deep convolutional neural …