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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 251–300 of 640 papers

TitleStatusHype
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis—0
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis—0
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?—0
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading—0
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
HACA3: A Unified Approach for Multi-site MR Image Harmonization—0
Boundary-rendering network for breast lesion segmentation in ultrasound images—0
Investigating certain choices of CNN configurations for brain lesion segmentation—0
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning—0
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification—0
MAPPING: Model Average with Post-processing for Stroke Lesion SegmentationCode1
ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentationCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
U-Net-based Models for Skin Lesion Segmentation: More Attention and AugmentationCode1
Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias—0
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?Code0
UNet-2022: Exploring Dynamics in Non-isomorphic Architecture—0
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity—0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation—0
Whole-body tumor segmentation of 18F -FDG PET/CT using a cascaded and ensembled convolutional neural networks—0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT ScansCode1
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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