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05/30/2023
Prompt-based Tuning of Transformer Models for Multi-Center Medical Image Segmentation
Medical image segmentation is a vital healthcare endeavor requiring prec...
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04/22/2023
Improving Stain Invariance of CNNs for Segmentation by Fusing Channel Attention and Domain-Adversarial Training
Variability in staining protocols, such as different slide preparation t...
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04/03/2023
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models
The number of studies on deep learning for medical diagnosis is expandin...
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09/12/2022
TMSS: An End-to-End Transformer-based Multimodal Network for Segmentation and Survival Prediction
When oncologists estimate cancer patient survival, they rely on multimod...
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05/05/2022
Segmentation with Super Images: A New 2D Perspective on 3D Medical Image Analysis
Deep learning is showing an increasing number of audience in medical ima...
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02/25/2022
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data
Accurate prognosis of a tumor can help doctors provide a proper course o...
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01/16/2022