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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
Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-
Aiga Suzuki, Hidenori Sakanashi 외 2명
arXiv (Cornell University)
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2018
|
12 회 인용
Fetal Brain Tissue Annotation and Segmentation Challenge Results
Kelly Payette, Hongwei Li 외 56명
arXiv (Cornell University)
|
2022
|
12 회 인용
Focal FCN: Towards Small Object Segmentation with Limited Training Data.
Xiao-Yun Zhou, Mali Shen 외 3명
arXiv (Cornell University)
|
2017
|
12 회 인용
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Karim Lekadir, Richard Osuala 외 14명
arXiv (Cornell University)
|
2021
|
12 회 인용
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems
Kai Packhäuser, Lukas Folle 외 2명
arXiv (Cornell University)
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2022
|
12 회 인용
Generative Model-Based Ischemic Stroke Lesion Segmentation
Tao Song
arXiv (Cornell University)
|
2019
|
12 회 인용
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI
Marco Reisert, Volker A. Coenen 외 3명
arXiv (Cornell University)
|
2018
|
12 회 인용
Holistic Evaluation of GPT-4V for Biomedical Imaging
Zhengliang Liu, Hanqi Jiang 외 48명
arXiv (Cornell University)
|
2023
|
12 회 인용
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
Tuan Truong, Sadegh Mohammadi 외 1명
arXiv (Cornell University)
|
2021
|
12 회 인용
Hypergraph Learning for Identification of COVID-19 with CT Imaging
Donglin Di, Feng Shi 외 13명
arXiv (Cornell University)
|
2020
|
12 회 인용
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