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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 301–325 of 640 papers

TitleStatusHype
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018—0
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images—0
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Dermoscopic Image Analysis for ISIC Challenge 2018—0
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation—0
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT—0
Differentiable Deconvolution for Improved Stroke Perfusion Analysis—0
Disentangled PET Lesion Segmentation—0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation—0
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?—0
DONet: Dual Objective Networks for Skin Lesion Segmentation—0
Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data—0
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images—0
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading—0
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation—0
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images—0
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