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Lesion Segmentation
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Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.
<span style="color:grey; opacity: 0.6">( Image credit: D-UNet )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
AutoPET III Challenge: PET/CT Semantic Segmentation
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble
AutoPETIII: The Tracer Frontier. What Frontier?
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary Guidance
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge
AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT Images
Automated Lesion Segmentation in Whole-Body PET/CT in a multitracer setting
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques
From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging
SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion Segmentation
AutoPET Challenge: Tumour Synthesis for Data Augmentation
Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III Challenge
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge Guidance
Interactive decision support system for lung cancer segmentation
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
Lesion-aware network for diabetic retinopathy diagnosis
Segmenting Small Stroke Lesions with Novel Labeling Strategies
Segmentation Style Discovery: Application to Skin Lesion Images
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images
GLAM: Glomeruli Segmentation for Human Pathological Lesions using Adapted Mouse Model
Navigating Uncertainty in Medical Image Segmentation
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis
Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
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