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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 351–375 of 640 papers

TitleStatusHype
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
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation—0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation—0
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor—0
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
Free-form Lesion Synthesis Using a Partial Convolution Generative Adversarial Network for Enhanced Deep Learning Liver Tumor Segmentation—0
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs—0
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network—0
SAN-Net: Learning Generalization to Unseen Sites for Stroke Lesion Segmentation with Self-Adaptive NormalizationCode0
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning—0
Class Balanced PixelNet for Neurological Image Segmentation—0
Segmentation-Consistent Probabilistic Lesion CountingCode0
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