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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 51–60 of 640 papers

TitleStatusHype
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsCode1
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation DatasetsCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
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