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Medicine 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
4,619개의 결과
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck, Varun Chandrasekaran 외 12명
arXiv (Cornell University)
|
2023
|
1,528 회 인용
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar, Jeremy Irvin 외 10명
arXiv (Cornell University)
|
2017
|
1,447 회 인용
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes 외 425명
arXiv (Cornell University)
|
2018
|
1,414 회 인용
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
Noel Codella, Veronica Rotemberg 외 10명
arXiv (Cornell University)
|
2019
|
984 회 인용
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images
Ezz El‐Din Hemdan, Marwa A. Shouman 외 1명
arXiv (Cornell University)
|
2020
|
972 회 인용
Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT
Emil Y. Sidky, Chien-Min Kao 외 1명
ArXiv.org
|
2009
|
951 회 인용
COVID-19 Image Data Collection
Joseph Cohen, Paul Morrison 외 1명
arXiv (Cornell University)
|
2020
|
818 회 인용
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Yang, Xingyi, Xuehai He 외 4명
arXiv (Cornell University)
|
2020
|
728 회 인용
A large annotated medical image dataset for the development and evaluation of segmentation algorithms
Amber L. Simpson, Michela Antonelli 외 22명
arXiv (Cornell University)
|
2019
|
717 회 인용
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
Ophir Gozes, Maayan Frid-Adar 외 6명
arXiv (Cornell University)
|
2020
|
672 회 인용
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