Papers with Code 아카이브
Lung Cancer Diagnosis
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/DIAL-RPI/KAMP-Net
공식 코드Knowledge-based Analysis for Mortality Prediction from CT Images
https://github.com/Heroandzhang/dataset_process
공식 코드https://github.com/amyraff/concept-explanations
공식 코드Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
https://github.com/benkeel/vae_lung_lesion_bmvc
공식 코드Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions
https://github.com/caiguohui123/awesome-lung-cancer-detection
공식 코드Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey
https://github.com/caiguohui123/msdet
공식 코드MSDet: Receptive Field Enhanced Multiscale Detection for Tiny Pulmonary Nodule
https://github.com/fitushar/AI-in-Lung-Health-Benchmarking-Detection-and-Diagnostic-Models-Across-Multiple-CT-Scan-Datasets
공식 코드AI in Lung Health: Benchmarking Detection and Diagnostic Models Across Multiple CT Scan Datasets
https://github.com/iamownt/TRUECAM
공식 코드https://github.com/jafarinia/snuffy
공식 코드https://github.com/lalonderodney/X-Caps
공식 코드Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses
https://github.com/niuchuangnn/m3fm
공식 코드Specialty-Oriented Generalist Medical AI for Chest CT Screening
https://github.com/tom1193/time-distance-transformer
공식 코드Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
https://github.com/BITCS-Information-Retrieval-2020/search-rattailcollagen1
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses
https://github.com/SteveKommrusch/LuNG3D
Synthetic Lung Nodule 3D Image Generation Using Autoencoders
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.