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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 426–450 of 640 papers

TitleStatusHype
Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans—0
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion—0
DeepLesionBrain: Towards a broader deep-learning generalization for multiple sclerosis lesion segmentation—0
Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multimodal MR Image Using Convolutional Neural Network—0
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM—0
Transfer Learning by Asymmetric Image Weighting for Segmentation across Scanners—0
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation—0
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation—0
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation—0
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation—0
Ultrasound Domain Adaptation Using Frequency Domain Analysis—0
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond—0
Uncertainty quantification using Bayesian neural networks in classification: Application to ischemic stroke lesion segmentation—0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
Unified Medical Lesion Segmentation via Self-referring Indicator—0
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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