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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 531–540 of 640 papers

TitleStatusHype
GradMask: Reduce Overfitting by Regularizing Saliency—0
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis—0
HACA3: A Unified Approach for Multi-site MR Image Harmonization—0
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation—0
HES-UNet: A U-Net for Hepatic Echinococcosis Lesion Segmentation—0
Hierarchical Fine-Tuning for joint Liver Lesion Segmentation and Lesion Classification in CT—0
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images—0
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions—0
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