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Lung Nodule Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/benkeel/vae_lung_lesion_bmvc
공식 코드Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions
https://github.com/fei-hdu/NAS-Lung
공식 코드https://github.com/fitushar/AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets
공식 코드Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
https://github.com/mueller-franzes/mst
공식 코드Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
https://github.com/2023-MindSpore-4/Code3/tree/main/dpn
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
https://github.com/amobiny/Fast_CapsNet
https://github.com/ivanwilliammd/I3DR-Net-Transfer-Learning
https://github.com/mundher/local-global
https://github.com/raun1/Diagnostic-Classification-Of-Lung-Nodules-Using-3D-Neural-Networks
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
https://github.com/raun1/ISBI2018-Diagnostic-Classification-Of-Lung-Nodules-Using-3D-Neural-Networks
Diagnostic Classification Of Lung Nodules Using 3D Neural Networks
https://github.com/uci-cbcl/DeepLung
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.