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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 221–230 of 640 papers

TitleStatusHype
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
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading—0
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning—0
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
Exploiting bilateral symmetry in brain lesion segmentation—0
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