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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
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasetsCode1
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network—0
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image ClassificationCode0
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
DONet: Dual Objective Networks for Skin Lesion Segmentation—0
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Implanting Synthetic Lesions for Improving Liver Lesion Segmentation in CT Exams—0
Multiple Sclerosis Lesion Activity Segmentation with Attention-Guided Two-Path CNNs—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patientsCode1
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial LearningCode1
One Click Lesion RECIST Measurement and Segmentation on CT Scans—0
Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI—0
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks—0
A Characteristic Function-based Algorithm for Geodesic Active Contours—0
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Pathological myopia classification with simultaneous lesion segmentation using deep learning—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Progressive Adversarial Semantic Segmentation—0
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationCode0
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Joint Liver Lesion Segmentation and Classification via Transfer Learning—0
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