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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.
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction
TJDR: A High-Quality Diabetic Retinopathy Pixel-Level Annotation Dataset
SLP-Net:An efficient lightweight network for segmentation of skin lesions
Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis with Incomplete Data
Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification
Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation
View it like a radiologist: Shifted windows for deep learning augmentation of CT images
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation
Fuzzy Information Seeded Region Growing for Automated Lesions After Stroke Segmentation in MR Brain Images
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion Segmentation
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analyses
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy
Simulation of acquisition shifts in T2 Flair MR images to stress test AI segmentation networks
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge
IARS SegNet: Interpretable Attention Residual Skip connection SegNet for melanoma segmentation
Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation
Multilevel Perception Boundary-guided Network for Breast Lesion Segmentation in Ultrasound Images
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency Modeling
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN
SSG2: A new modelling paradigm for semantic segmentation
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation
AG-CRC: Anatomy-Guided Colorectal Cancer Segmentation in CT with Imperfect Anatomical Knowledge
Boosting Dermatoscopic Lesion Segmentation via Diffusion Models with Visual and Textual Prompts
Shifting More Attention to Breast Lesion Segmentation in Ultrasound Videos
APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge
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