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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 291–300 of 640 papers

TitleStatusHype
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading—0
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images—0
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