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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 341–350 of 640 papers

TitleStatusHype
Diffusion Models for Implicit Image Segmentation EnsemblesCode1
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and ClassificationCode1
Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network—0
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—0
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging—0
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus ImagesCode1
Novel coronavirus pneumonia lesion segmentation in CT images—0
MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound imagesCode0
Prior Attention Network for Multi-Lesion Segmentation in Medical ImagesCode1
Boundary-aware Transformers for Skin Lesion SegmentationCode1
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