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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
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
Md Zahangir Alom, Theus H. Aspiras 외 2명
arXiv (Cornell University)
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2019
|
32 회 인용
The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and Millennial Generation teachers?
Cecilia Ka Yuk Chan, Katherine K. W. Lee
arXiv (Cornell University)
|
2023
|
32 회 인용
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
Nicholas Heller, Fabian Isensee 외 43명
arXiv (Cornell University)
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2023
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32 회 인용
Towards CT-quality Ultrasound Imaging using Deep Learning
Sanketh Vedula, Ortal Senouf 외 3명
arXiv (Cornell University)
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2017
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32 회 인용
WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks
Yeong Chan Lee, Sang‐Hyuk Jung 외 1명
arXiv (Cornell University)
|
2018
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32 회 인용
Zero-Shot Self-Supervised Learning for MRI Reconstruction
Burhaneddin Yaman, Seyed Amir Hossein Hosseini 외 1명
arXiv (Cornell University)
|
2021
|
32 회 인용
A Computer Vision Pipeline for Automated Determination of Cardiac Structure and Function and Detection of Disease by Two-Dimensional Echocardiography
Jeffrey Zhang, Sravani Gajjala 외 14명
arXiv (Cornell University)
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2017
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31 회 인용
A Review of Deep Transfer Learning and Recent Advancements
Mohammadreza Iman, Khaled Rasheed 외 1명
arXiv (Cornell University)
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2022
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31 회 인용
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
Eduardo Pooch, Pedro L. Ballester 외 1명
arXiv (Cornell University)
|
2019
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31 회 인용
ChatGPT Participates in a Computer Science Exam
Sebastian Bordt, Ulrike von Luxburg
arXiv (Cornell University)
|
2023
|
31 회 인용
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