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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 551–575 of 640 papers

TitleStatusHype
Lesion-aware network for diabetic retinopathy diagnosisCode0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
XAI-ResUNet: Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAMCode0
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound ImagesCode0
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss functionCode0
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Segmentation-Consistent Probabilistic Lesion CountingCode0
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationCode0
Unsupervised domain adaptation in brain lesion segmentation with adversarial networksCode0
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin ImagesCode0
GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion AnalysisCode0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?Code0
Generative Adversarial Networks based Skin Lesion SegmentationCode0
When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion SegmentationCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge GuidanceCode0
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional NetworksCode0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
FocusNet: An attention-based Fully Convolutional Network for Medical Image SegmentationCode0
EyeBench: A Call for More Rigorous Evaluation of Retinal Image EnhancementCode0
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and SegmentationCode0
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic videoCode0
Tversky loss function for image segmentation using 3D fully convolutional deep networksCode0
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