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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
A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Yufei Wang, Yiqing Shen 외 7명
arXiv (Cornell University)
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2021
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13 회 인용
A Generalized Motion Pattern and FCN based approach for retinal fluid detection and segmentation
Shivin Yadav, Karthik Gopinath 외 1명
arXiv (Cornell University)
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2017
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13 회 인용
A Glimpse in ChatGPT Capabilities and its impact for AI research
Frank Joublin, Antonello Ceravola 외 4명
arXiv (Cornell University)
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2023
|
13 회 인용
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging
Zhaohan Xiong, Qing Xia 외 42명
arXiv (Cornell University)
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2020
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13 회 인용
A novel and reliable deep learning web-based tool to detect COVID-19 infection form chest CT-scan
Abdolkarim Saeedi, Maryam Saeedi 외 1명
arXiv (Cornell University)
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2020
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13 회 인용
A Platform for the Biomedical Application of Large Language Models
Sebastian Lobentanzer, Feng, Shaohong 외 7명
arXiv (Cornell University)
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2023
|
13 회 인용
A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection
Manu Goyal, Saeed Hassanpour
arXiv (Cornell University)
|
2020
|
13 회 인용
A Simple Prediction Model for the Development Trend of 2019-nCov Epidemics Based on Medical Observations
Ye Liang, Dan Xu 외 5명
arXiv (Cornell University)
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2020
|
13 회 인용
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion
Dakai Jin, Dazhou Guo 외 5명
arXiv (Cornell University)
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2019
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13 회 인용
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
Muhammad Ali Farooq, Asma Khatoon 외 2명
arXiv (Cornell University)
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2020
|
13 회 인용
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