Papers with Code 아카이브
Lesion Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 9
- 보존된 평가 기록
- 42
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.
Generative Adversarial Networks based Skin Lesion Segmentation
LCAUnet: A skin lesion segmentation network with enhanced edge and body fusion
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation
Boosting multiple sclerosis lesion segmentation through attention mechanism
Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation
Unsupervised Brain Tumor Segmentation with Image-based Prompts
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI
Deep Learning Based Dominant Index Lesion Segmentation for MR-guided Radiation Therapy of Prostate Cancer
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training
Swin Deformable Attention Hybrid U-Net for Medical Image Segmentation
3D PETCT Tumor Lesion Segmentation via GCN Refinement
Patch Network for medical image Segmentation
A Bibliography of Multiple Sclerosis Lesions Detection Methods using Brain MRIs
Automated Lesion Segmentation in Whole-Body FDG-PET/CT with Multi-modality Deep Neural Networks
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
Spatially Covariant Lesion Segmentation
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT
Deep Learning based Novel Cascaded Approach for Skin Lesion Analysis
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation
HACA3: A Unified Approach for Multi-site MR Image Harmonization
Investigating certain choices of CNN configurations for brain lesion segmentation
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.