An anemia screening tool based on deep learning with conjunctiva images
Objective To explore the application of deep learning in automatic classification of anemia with conjunctival images as input. Methods The conjunctival images of 284 patients undergoing elective surgery in the Department of Anesthesiology of the First Affiliated Hospital of Army Medical University f...
Main Authors: | HU Xiaoyan, LI Haoyang, LIU Xiang, LI Yujie, TAN Lifang |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Army Medical University
2023-04-01
|
Series: | 陆军军医大学学报 |
Subjects: | |
Online Access: | http://aammt.tmmu.edu.cn/html/202301049.htm |
Similar Items
-
A New Method and a Non-Invasive Device to Estimate Anemia Based on Digital Images of the Conjunctiva
by: Giovanni Dimauro, et al.
Published: (2018-01-01) -
Detection of anemia using conjunctiva images: A smartphone application approach
by: Peter Appiahene, et al.
Published: (2023-06-01) -
Detecting Clinical Signs of Anaemia From Digital Images of the Palpebral Conjunctiva
by: Giovanni Dimauro, et al.
Published: (2019-01-01) -
Estimate of Anemia with New Non-Invasive Systems—A Moment of Reflection
by: Giovanni Dimauro, et al.
Published: (2020-05-01) -
Novel Biased Normalized Cuts Approach for the Automatic Segmentation of the Conjunctiva
by: Giovanni Dimauro, et al.
Published: (2020-06-01)