research
∙
04/18/2023
Accuracy of Segment-Anything Model (SAM) in medical image segmentation tasks
The segment-anything model (SAM), was introduced as a fundamental model ...
share
research
∙
04/03/2023
U-Netmer: U-Net meets Transformer for medical image segmentation
The combination of the U-Net based deep learning models and Transformer ...
research
∙
12/19/2022
Segmentation Ability Map: Interpret deep features for medical image segmentation
Deep convolutional neural networks (CNNs) have been widely used for medi...
research
∙
04/13/2022
Deep Relation Learning for Regression and Its Application to Brain Age Estimation
Most deep learning models for temporal regression directly output the es...
research
∙
02/20/2020
