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Medicine 논문 리뷰
Medicine 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
4,880개의 결과
Sorting out symptoms: design and evaluation of the 'babylon check' automated triage system
Katherine Middleton, Mobasher Butt 외 4명
arXiv (Cornell University)
|
2016
|
20 회 인용
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Changhee Han, Yoshiro Kitamura 외 7명
arXiv (Cornell University)
|
2019
|
20 회 인용
Towards data-driven stroke rehabilitation via wearable sensors and deep learning
Aakash Kaku, Avinash Parnandi 외 4명
arXiv (Cornell University)
|
2020
|
20 회 인용
Towards Robust Lung Segmentation in Chest Radiographs with Deep Learning
Jyoti Islam, Yanqing Zhang
arXiv (Cornell University)
|
2018
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20 회 인용
Training the Next Generation of Astronomers
Peter K. G. Williams, Eric Huff 외 29명
ArXiv.org
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2009
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20 회 인용
Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation
Dorothy J. Cheng, Edmund Y. Lam
arXiv (Cornell University)
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2021
|
20 회 인용
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li, Junyu Chen 외 4명
arXiv (Cornell University)
|
2022
|
20 회 인용
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi 외 76명
arXiv (Cornell University)
|
2023
|
20 회 인용
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions
Dong Zhang, Yi Lin 외 5명
arXiv (Cornell University)
|
2022
|
20 회 인용
Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition
Varun Shenoy, Oliver Aalami
PubMed
|
2018
|
20 회 인용
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