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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 81–90 of 640 papers

TitleStatusHype
Diffusion Models for Implicit Image Segmentation EnsemblesCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT ImagesCode1
ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly SegmentationCode1
Encoder-Decoder with Atrous Separable Convolution for Semantic Image SegmentationCode1
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound ImagesCode1
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image SegmentationCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
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