Papers with Code 아카이브
Medical Image Analysis
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
RadiomicsRetrieval: A Customizable Framework for Medical Image Retrieval Using Radiomics Features
MedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification
U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs
Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network
Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
A Deep Learning Based Method for Fast Registration of Cardiac Magnetic Resonance Images
Multimodal Medical Image Binding via Shared Text Embeddings
Conquering the Retina: Bringing Visual in-Context Learning to OCT
Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation
BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification with Swin-HAFNet
A Semantically-Aware Relevance Measure for Content-Based Medical Image Retrieval Evaluation
3D Skin Segmentation Methods in Medical Imaging: A Comparison
Autonomous Computer Vision Development with Agentic AI
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
SurgBench: A Unified Large-Scale Benchmark for Surgical Video Analysis
Multi-modal brain MRI synthesis based on SwinUNETR
Implicit Deformable Medical Image Registration with Learnable Kernels
DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions
Can Large Language Models Challenge CNNs in Medical Image Analysis?
Comparing the Effects of Persistence Barcodes Aggregation and Feature Concatenation on Medical Imaging
Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off
Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical Imaging
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation
Preserving AUC Fairness in Learning with Noisy Protected Groups
CENet: Context Enhancement Network for Medical Image Segmentation
On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction
MIPHEI-ViT: Multiplex Immunofluorescence Prediction from H&E Images using ViT Foundation Models
MOSAIC: A Multi-View 2.5D Organ Slice Selector with Cross-Attentional Reasoning for Anatomically-Aware CT Localization in Medical Organ Segmentation
DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images
Multi-modal wound classification using wound image and location by Xception and Gaussian Mixture Recurrent Neural Network (GMRNN)
CheXLearner: Text-Guided Fine-Grained Representation Learning for Progression Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.