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Medicine 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
4,880개의 결과
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation
Dominik Müller, Iñaki Soto‐Rey 외 1명
arXiv (Cornell University)
|
2022
|
6 회 인용
Towards A Unified Utilitarian Ethics Framework for Healthcare Artificial Intelligence
Forhan Bin Emdad, Shuyuan Mary Ho 외 2명
arXiv (Cornell University)
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2023
|
6 회 인용
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification.
Amelia Jiménez-Sánchez, Anees Kazi 외 6명
arXiv (Cornell University)
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2019
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6 회 인용
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms
Ashutosh P. Jadhav, Satyananda Kashyap 외 7명
arXiv (Cornell University)
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2022
|
6 회 인용
Towards deep learning-powered IVF: A large public benchmark for morphokinetic parameter prediction
Tristan Gomez, Magalie Feyeux 외 5명
arXiv (Cornell University)
|
2022
|
6 회 인용
Towards human performance on automatic motion tracking of infant spontaneous movements.
Daniel Groos, Lars Adde 외 3명
arXiv (Cornell University)
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2020
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6 회 인용
Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on Ultrasound imaging data
Qiang Zheng, Gregory E. Tasian 외 1명
arXiv (Cornell University)
|
2017
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6 회 인용
Trends in risks of severe events and lengths of stay for COVID-19 hospitalisations in England over the pre-vaccination era: results from the Public Health England SARI-Watch surveillance scheme
Peter Kirwan, Suzanne Elgohari 외 5명
arXiv (Cornell University)
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2021
|
6 회 인용
U-Net-based Models for Skin Lesion Segmentation: More Attention and Augmentation
Pooya Mohammadi Kazaj, MohammadHossein Koosheshi 외 2명
arXiv (Cornell University)
|
2022
|
6 회 인용
U-Netmer: U-Net meets Transformer for medical image segmentation
Sheng He, Rina Bao 외 2명
arXiv (Cornell University)
|
2023
|
6 회 인용
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