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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 351–360 of 640 papers

TitleStatusHype
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment—0
Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder—0
Unsupervised Brain Tumor Segmentation with Image-based Prompts—0
Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network—0
Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets—0
Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation—0
Using Deep Learning Method for Classification: A Proposed Algorithm for the ISIC 2017 Skin Lesion Classification Challenge—0
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation—0
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention—0
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning—0
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