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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 201–250 of 640 papers

TitleStatusHype
Generative Model-Based Ischemic Stroke Lesion Segmentation—0
Generalizable automated ischaemic stroke lesion segmentation with vision transformers—0
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities—0
Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients—0
Dermoscopic Image Analysis for ISIC Challenge 2018—0
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI—0
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation—0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks—0
Deep attention-guided fusion network for lesion segmentation—0
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Differentiable Deconvolution for Improved Stroke Perfusion Analysis—0
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images—0
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
Global and Local Information Based Deep Network for Skin Lesion Segmentation—0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
HES-UNet: A U-Net for Hepatic Echinococcosis Lesion Segmentation—0
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?—0
An Overview of Melanoma Detection in Dermoscopy Images Using Image Processing and Machine Learning—0
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge—0
DONet: Dual Objective Networks for Skin Lesion Segmentation—0
Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data—0
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks—0
Decoupling Shape and Density for Liver Lesion Synthesis Using Conditional Generative Adversarial Networks—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation—0
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images—0
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images—0
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
Automatic acute ischemic stroke lesion segmentation using semi-supervised learning—0
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
AutoPET Challenge: Tumour Synthesis for Data Augmentation—0
Frequency and Spatial domain based Saliency for Pigmented Skin Lesion Segmentation—0
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation—0
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures—0
Lesion Segmentation in Ultrasound Using Semi-pixel-wise Cycle Generative Adversarial Nets—0
Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis—0
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection—0
FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images—0
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation—0
CT-To-MR Conditional Generative Adversarial Networks for Ischemic Stroke Lesion Segmentation—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
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