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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 101–110 of 640 papers

TitleStatusHype
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
LambdaUNet: 2.5D Stroke Lesion Segmentation of Diffusion-weighted MR ImagesCode1
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
NeRD: Neural Representation of Distribution for Medical Image SegmentationCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
Rotation-Equivariant Deep Learning for Diffusion MRICode1
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
Applications of Deep Learning in Fundus Images: A ReviewCode1
DR-Unet104 for Multimodal MRI brain tumor segmentationCode1
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT ScansCode1
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