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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 401–425 of 640 papers

TitleStatusHype
Skip and Skip: Segmenting Medical Images with Prompts—0
Slicer Networks—0
SLP-Net:An efficient lightweight network for segmentation of skin lesions—0
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation—0
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks—0
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation—0
Spatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques—0
Spatially Covariant Lesion Segmentation—0
Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images—0
SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI—0
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation—0
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters—0
Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models—0
Sustainable Deep Learning-Based Breast Lesion Segmentation: Impact of Breast Region Segmentation on Performance—0
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation—0
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation—0
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging—0
TBI Contusion Segmentation from MRI using Convolutional Neural Networks—0
AGMR-Net: Attention Guided Multiscale Recovery framework for stroke segmentation—0
Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net—0
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation—0
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation—0
Toward Generalizable Multiple Sclerosis Lesion Segmentation Models—0
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