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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 311–320 of 640 papers

TitleStatusHype
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
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