Multi-scale GCN-assisted two-stage network for joint segmentation of retinal layers and discs in peripapillary OCT images
An accurate and automated tissue segmentation algorithm for retinal optical coherence
tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the …
tomography (OCT) images is crucial for the diagnosis of glaucoma. However, due to the …
Push the boundary of sam: A pseudo-label correction framework for medical segmentation
Segment anything model (SAM) has emerged as the leading approach for zero-shot
learning in segmentation tasks, offering the advantage of avoiding pixel-wise annotations. It …
learning in segmentation tasks, offering the advantage of avoiding pixel-wise annotations. It …
Deep neural network-based noisy pixel estimation for breast ultrasound segmentation
S Jin, W Lu, P Monkam - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
The success of modern deep learning algorithms for image segmentation heavily relies on
the availability of high-quality labels for training. However, obtaining accurate labels is time …
the availability of high-quality labels for training. However, obtaining accurate labels is time …
Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI
Precise thigh muscle volumes are crucial to monitor the motor functionality of patients with
diseases that may result in various degrees of thigh muscle loss. T1-weighted MRI is the …
diseases that may result in various degrees of thigh muscle loss. T1-weighted MRI is the …