Papers with Code 아카이브
Lung Nodule Detection
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CPLOYO: A Pulmonary Nodule Detection Model with Multi-Scale Feature Fusion and Nonlinear Feature Learning
An Efficient Approach to Detecting Lung Nodules Using Swin Transformer
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation
Lung-DETR: Deformable Detection Transformer for Sparse Lung Nodule Anomaly Detection
Domain Adaptive Lung Nodule Detection in X-ray Image
AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection
Improving Representation of High-frequency Components for Medical Visual Foundation Models
AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
Improved Focus on Hard Samples for Lung Nodule Detection
EXACT-Net:EHR-guided lung tumor auto-segmentation for non-small cell lung cancer radiotherapy
Swin-Tempo: Temporal-Aware Lung Nodule Detection in CT Scans as Video Sequences Using Swin Transformer-Enhanced UNet
Specialty-Oriented Generalist Medical AI for Chest CT Screening
An Efficient and Robust Method for Chest X-Ray Rib Suppression that Improves Pulmonary Abnormality Diagnosis
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection
Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection
Multi-Task Lung Nodule Detection in Chest Radiographs with a Dual Head Network
AI-based software for lung nodule detection in chest X-rays -- Time for a second reader approach?
Unsupervised Contrastive Learning based Transformer for Lung Nodule Detection
X-ray Dissectography Improves Lung Nodule Detection
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics
Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images
CT-SGAN: Computed Tomography Synthesis GAN
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation
Unsupervised Detection of Lung Nodules in Chest Radiography Using Generative Adversarial Networks
End-to-end lung nodule detection framework with model-based feature projection block
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching
Exploring Instance-Level Uncertainty for Medical Detection
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.