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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 326–350 of 640 papers

TitleStatusHype
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT—0
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation—0
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation—0
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging—0
TBI Contusion Segmentation from MRI using Convolutional Neural Networks—0
AGMR-Net: Attention Guided Multiscale Recovery framework for stroke segmentation—0
Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net—0
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation—0
The Effects of Image Pre- and Post-Processing, Wavelet Decomposition, and Local Binary Patterns on U-Nets for Skin Lesion Segmentation—0
Toward Generalizable Multiple Sclerosis Lesion Segmentation Models—0
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
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