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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 351–375 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
Weakly Supervised Lesion Co-segmentation on CT Scans—0
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation—0
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss—0
Where is the disease? Semi-supervised pseudo-normality synthesis from an abnormal image—0
White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative—0
Whole-body tumor segmentation of 18F -FDG PET/CT using a cascaded and ensembled convolutional neural networks—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
Generative Model-Based Ischemic Stroke Lesion Segmentation—0
3D PETCT Tumor Lesion Segmentation via GCN Refinement—0
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction—0
4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation—0
4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation—0
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
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