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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
Predicting 1p19q Chromosomal Deletion of Low-Grade Gliomas from MR Images using Deep Learning
Zeynettin Akkus, Issa Ali 외 6명
arXiv (Cornell University)
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2016
|
11 회 인용
Primal-Dual Wasserstein GAN
Mevlana Gemici, Zeynep Akata 외 1명
arXiv (Cornell University)
|
2018
|
11 회 인용
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
Shiran Zada, Itay Benou 외 1명
arXiv (Cornell University)
|
2021
|
11 회 인용
Q-Net: Query-Informed Few-Shot Medical Image Segmentation
Qianqian Shen, Yanan Li 외 2명
arXiv (Cornell University)
|
2022
|
11 회 인용
Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: a review
Fan Zhang, Alessandro Daducci 외 7명
arXiv (Cornell University)
|
2021
|
11 회 인용
QuickNAT: A Fully Convolutional Network for Quick and Accurate Segmentation of Neuroanatomy
Abhijit Guha Roy, Sailesh Conjeti 외 2명
arXiv (Cornell University)
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2018
|
11 회 인용
Recent advances in deep learning applied to skin cancer detection
André G. C. Pacheco, Renato A. Krohling
arXiv (Cornell University)
|
2019
|
11 회 인용
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach
Avisek Lahiri, Vineet Jain 외 2명
arXiv (Cornell University)
|
2018
|
11 회 인용
Review: Noise and artifact reduction for MRI using deep learning
Daiki Tamada
arXiv (Cornell University)
|
2020
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11 회 인용
Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
Zhuoning Yuan, Yan Yan 외 2명
arXiv (Cornell University)
|
2020
|
11 회 인용
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