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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 201–225 of 640 papers

TitleStatusHype
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—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
Feature Fusion Encoder Decoder Network For Automatic Liver Lesion Segmentation—0
Fully Connected Deep Structured Networks—0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks—0
GradMask: Reduce Overfitting by Regularizing Saliency—0
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT—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
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence—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
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—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
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis—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
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