Assessing the impact of image quality on deep learning classification of infectious keratitis

被引：0
|
作者：
Hanif, Adam Marcus [1 ]
Prajna, Venkatesh [2 ]
Lalitha, Prajna [2 ]
NaPier, Erin [3 ]
Parker, Maria [1 ]
Steinkamp, Peter [1 ]
Keenan, Jeremy [4 ]
Campbell, J. Peter [1 ]
Song, Xubo [5 ]
Redd, Travis [1 ]
机构：
[1] Oregon Hlth & Sci Univ, Casey Eye Inst, Portland, OR USA
[2] Aravind Eye Care Syst, Madurai, Tamil Nadu, India
[3] Univ Hawaii, John A Burns Sch Med, Honolulu, HI USA
[4] Univ Calif San Francisco, San Francisco, CA USA
[5] Oregon Hlth & Sci Univ, Portland, OR USA
来源：
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE | 2023年 / 64卷 / 08期
基金：
美国国家卫生研究院;
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：
引用
收藏
页数：3
相关论文
共 50 条
  • [31] A General Machine Learning Model for Assessing Fruit Quality Using Deep Image Features
    Apostolopoulos, Ioannis D.
    Tzani, Mpesi
    Aznaouridis, Sokratis I.
    AI, 2023, 4 (04) : 812 - 830
  • [32] Assessing the generalization capability of deep learning networks for aerial image classification using landscape metrics
    Gevaert, Caroline M.
    Belgiu, Mariana
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 114
  • [33] Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography
    De Santis, Domenico
    Polidori, Tiziano
    Tremamunno, Giuseppe
    Rucci, Carlotta
    Piccinni, Giulia
    Zerunian, Marta
    Pugliese, Luca
    Del Gaudio, Antonella
    Guido, Gisella
    Barbato, Luca
    Laghi, Andrea
    Caruso, Damiano
    RADIOLOGIA MEDICA, 2023, 128 (04): : 434 - 444
  • [34] Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography
    Domenico De Santis
    Tiziano Polidori
    Giuseppe Tremamunno
    Carlotta Rucci
    Giulia Piccinni
    Marta Zerunian
    Luca Pugliese
    Antonella Del Gaudio
    Gisella Guido
    Luca Barbato
    Andrea Laghi
    Damiano Caruso
    La radiologia medica, 2023, 128 : 434 - 444
  • [35] Deep Multiview Learning for Hyperspectral Image Classification
    Liu, Bing
    Yu, Anzhu
    Yu, Xuchu
    Wang, Ruirui
    Gao, Kuiliang
    Guo, Wenyue
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (09): : 7758 - 7772
  • [36] Deep Metric Learning for Cervical Image Classification
    Pal, Anabik
    Xue, Zhiyun
    Befano, Brian
    Rodriguez, Ana Cecilia
    Long, L. Rodney
    Schiffman, Mark
    Antani, Sameer
    IEEE ACCESS, 2021, 9 : 53266 - 53275
  • [37] LEARNING DEEP FEATURES FOR IMAGE EMOTION CLASSIFICATION
    Chen, Ming
    Zhang, Lu
    Allebach, Jan P.
    2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, : 4491 - 4495
  • [38] Mammographic image classification with deep fusion learning
    Xiangchun Yu
    Wei Pang
    Qing Xu
    Miaomiao Liang
    Scientific Reports, 10
  • [39] Compression Helps Deep Learning in Image Classification
    Yang, En-Hui
    Amer, Hossam
    Jiang, Yanbing
    ENTROPY, 2021, 23 (07)
  • [40] Deep transfer learning for Hyperspectral Image classification
    Lin, Jianzhe
    Ward, Rabab
    Wang, Z. Jane
    2018 IEEE 20TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2018,
12345