research
∙
07/10/2023
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis
Fueled by deep learning, computer-aided diagnosis achieves huge advances...
share
research
∙
07/28/2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Medical image segmentation is a fundamental and critical step in many im...
research
∙
04/18/2022
Parallel Network with Channel Attention and Post-Processing for Carotid Arteries Vulnerable Plaque Segmentation in Ultrasound Images
Carotid arteries vulnerable plaques are a crucial factor in the screenin...
research
∙
12/05/2021
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation
Medical image segmentation is a fundamental and critical step in many cl...
research
∙
09/20/2021
Parameter Decoupling Strategy for Semi-supervised 3D Left Atrium Segmentation
Consistency training has proven to be an advanced semi-supervised framew...
research
∙
03/08/2021
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation
The success of deep learning methods in medical image segmentation tasks...
research
∙
12/31/2020
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
The novel Coronavirus disease (COVID-19) is a highly contagious virus an...
research
∙
10/13/2020