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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 301–350 of 640 papers

TitleStatusHype
Skin Lesion Analysis Towards Melanoma Detection Using Deep Learning Network—0
Towards Automated Melanoma Detection with Deep Learning: Data Purification and Augmentation—0
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features—0
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features—0
Skin lesion segmentation and classification using deep learning and handcrafted features—0
Skin lesion segmentation based on preprocessing, thresholding and neural networks—0
Skin Lesion Segmentation: U-Nets versus Clustering—0
Skin Lesion Segmentation Using Atrous Convolution via DeepLab v3—0
Skin lesion segmentation using U-Net and good training strategies—0
SkinNet: A Deep Learning Framework for Skin Lesion Segmentation—0
Skip and Skip: Segmenting Medical Images with Prompts—0
Slicer Networks—0
SLP-Net:An efficient lightweight network for segmentation of skin lesions—0
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation—0
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks—0
Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation—0
Spatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques—0
Spatially Covariant Lesion Segmentation—0
Spectral GUI for Automated Tissue and Lesion Segmentation of T1 Weighted Breast MR Images—0
SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI—0
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation—0
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters—0
Statistical inference of the inter-sample Dice distribution for discriminative CNN brain lesion segmentation models—0
Sustainable Deep Learning-Based Breast Lesion Segmentation: Impact of Breast Region Segmentation on Performance—0
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation—0
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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