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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 301–350 of 640 papers

TitleStatusHype
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation—0
Decomposing and Coupling Saliency Map for Lesion Segmentation in Ultrasound Images—0
A hybrid approach for improving U-Net variants in medical image segmentation—0
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT—0
Meta-Analysis of Transfer Learning for Segmentation of Brain Lesions—0
Multi-source adversarial transfer learning for ultrasound image segmentation with limited similarity—0
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images—0
Generative Adversarial Networks based Skin Lesion SegmentationCode0
LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion—0
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation—0
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation—0
Unsupervised Brain Tumor Segmentation with Image-based Prompts—0
SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI—0
Deep Learning Based Dominant Index Lesion Segmentation for MR-guided Radiation Therapy of Prostate Cancer—0
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion SegmentationCode0
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training—0
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation—0
3D PETCT Tumor Lesion Segmentation via GCN Refinement—0
Patch Network for medical image Segmentation—0
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs—0
Automated Lesion Segmentation in Whole-Body FDG-PET/CT with Multi-modality Deep Neural Networks—0
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion SegmentationCode0
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical CuesCode0
Spatially Covariant Lesion Segmentation—0
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks—0
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT—0
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
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
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
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
Whole-body tumor segmentation of 18F -FDG PET/CT using a cascaded and ensembled convolutional neural networks—0
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
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