Automated Machine Learning vs. Inception for the Autonomous Detection of Disc Hemorrhage

被引:0
|
作者
Brown, Aaron C. [1 ]
Cousins, Henry [2 ]
Cousins, Clara [3 ]
Chadha, Nisha [1 ]
Vinod, Kateki [1 ]
Harris, Alon [1 ]
Topouzis, Fotis [4 ]
Kilintzis, Vassilis [4 ]
Coote, Michael [5 ]
Pasquale, Louis R. [1 ]
机构
[1] New York Eye & Ear Infirm Mt Sinai, Dept Ophthalmol, New York, NY USA
[2] Stanford Univ, Sch Med, Stanford, CA USA
[3] MIT, Dept Biol Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[4] Aristoteleio Panepistemio Thessalonikes Tmema Iat, Lab Res & Clin Applicat Ophthalmol, Thessaloniki, Central Macedon, Greece
[5] Royal Victorian Eye & Ear Hosp, East Melbourne, Vic, Australia
关键词
D O I
暂无
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
2133
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Iterative Machine Learning: A Test Case for the Detection of Disc Hemorrhage
    Brown, Aaron C.
    Cousins, Henry
    Esquenazi, Karina
    Kim, Yonwook
    Cousins, Clara
    Elze, Tobias
    Harris, Alon
    Coote, Michael A.
    Pasquale, Louis R.
    [J]. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2022, 63 (07)
  • [2] Classical vs. Quantum Machine Learning for Breast Cancer Detection
    DIaz-Santos, Sonia
    Escanez-Exposito, Daniel
    [J]. 2023 19TH INTERNATIONAL CONFERENCE ON THE DESIGN OF RELIABLE COMMUNICATION NETWORKS, DRCN, 2023,
  • [3] SoK: Machine vs. machine - A systematic classification of automated machine learning-based CAPTCHA solvers
    Dionysiou, Antreas
    Athanasopoulos, Elias
    [J]. COMPUTERS & SECURITY, 2020, 97
  • [4] Fake News Detection: Traditional vs. Contemporary Machine Learning Approaches
    Binay, Aditya
    Binay, Anisha
    Register, Jordan
    [J]. JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2024, 23 (05)
  • [5] KNN vs. Bluecat-Machine Learning vs. Classical Statistics
    Rozos, Evangelos
    Koutsoyiannis, Demetris
    Montanari, Alberto
    [J]. HYDROLOGY, 2022, 9 (06)
  • [6] Machine learning vs. hybrid machine learning model for optimal operation of a chiller
    Park, Sungho
    Ahn, Ki Uhn
    Hwang, Seungho
    Choi, Sunkyu
    Park, Cheol Soo
    [J]. SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT, 2019, 25 (02) : 209 - 220
  • [7] Robustness of Machine Learning Models for Hemorrhage Detection
    Jeanselme, V.
    Wertz, A.
    Clermont, G.
    Pinsky, M. R.
    Dubrawski, A.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2020, 201
  • [8] Human vs. Machine Learning Based Detection of Facial Weakness Using Video Analysis
    Aldridge, Chad M.
    McDonald, Mark M.
    Wruble, Mattia
    Zhuang, Yan
    Uribe, Omar
    McMurry, Timothy L.
    Lin, Iris
    Pitchford, Haydon
    Schneider, Brett J.
    Dalrymple, William A.
    Carrera, Joseph F.
    Chapman, Sherita
    Worrall, Bradford B.
    Rohde, Gustavo K.
    Southerland, Andrew M.
    [J]. FRONTIERS IN NEUROLOGY, 2022, 13
  • [9] Machine Learning vs. Human Performance in the Real-time Acoustic Detection of Drones
    Alaparthy, Vishwa
    Mandal, Sayan
    Cummings, Mary
    [J]. 2021 IEEE AEROSPACE CONFERENCE (AEROCONF 2021), 2021,
  • [10] Machine Learning in the Detection of the Glaucomatous Disc and Visual Field
    Smits, David J.
    Elze, Tobias
    Wang, Haobing
    Pasquale, Louis R.
    [J]. SEMINARS IN OPHTHALMOLOGY, 2019, 34 (04) : 232 - 242