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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 276–300 of 640 papers

TitleStatusHype
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation—0
PriorNet: lesion segmentation in PET-CT including prior tumor appearance information—0
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical SegmentationCode0
Cut-Paste Consistency Learning for Semi-Supervised Lesion SegmentationCode0
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models—0
Automated ischemic stroke lesion segmentation from 3D MRI—0
Automatic Tumor Segmentation via False Positive Reduction Network for Whole-Body Multi-Modal PET/CT ImagesCode1
Whole-Body Lesion Segmentation in 18F-FDG PET/CTCode0
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution RobustnessCode0
AutoPET Challenge 2022: Step-by-Step Lesion Segmentation in Whole-body FDG-PET/CTCode0
AutoPET Challenge 2022: Automatic Segmentation of Whole-body Tumor Lesion Based on Deep Learning and FDG PET/CTCode0
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning—0
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers—0
Mutual gain adaptive network for segmenting brain stroke lesions—0
A survey, review, and future trends of skin lesion segmentation and classification—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesionsCode0
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic videoCode0
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-imagesCode0
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion SegmentationCode0
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