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Versatile Framework for Medical Image Processing and Analysis with Application to Automatic Bone Age Assessment
Joint Authors
Zhao, Chen
Han, Jungang
Jia, Yang
Fan, Lianghui
Gou, Fan
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-31
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Deep learning technique has made a tremendous impact on medical image processing and analysis.
Typically, the procedure of medical image processing and analysis via deep learning technique includes image segmentation, image enhancement, and classification or regression.
A challenge for supervised deep learning frequently mentioned is the lack of annotated training data.
In this paper, we aim to address the problems of training transferred deep neural networks with limited amount of annotated data.
We proposed a versatile framework for medical image processing and analysis via deep active learning technique.
The framework includes (1) applying deep active learning approach to segment specific regions of interest (RoIs) from raw medical image by using annotated data as few as possible; (2) generative adversarial Network is employed to enhance contrast, sharpness, and brightness of segmented RoIs; (3) Paced Transfer Learning (PTL) strategy which means fine-tuning layers in deep neural networks from top to bottom step by step to perform medical image classification or regression tasks.
In addition, in order to understand the necessity of deep-learning-based medical image processing tasks and provide clues for clinical usage, class active map (CAM) is employed in our framework to visualize the feature maps.
To illustrate the effectiveness of the proposed framework, we apply our framework to the bone age assessment (BAA) task using RSNA dataset and achieve the state-of-the-art performance.
Experimental results indicate that the proposed framework can be effectively applied to medical image analysis task.
American Psychological Association (APA)
Zhao, Chen& Han, Jungang& Jia, Yang& Fan, Lianghui& Gou, Fan. 2018. Versatile Framework for Medical Image Processing and Analysis with Application to Automatic Bone Age Assessment. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1184395
Modern Language Association (MLA)
Zhao, Chen…[et al.]. Versatile Framework for Medical Image Processing and Analysis with Application to Automatic Bone Age Assessment. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1184395
American Medical Association (AMA)
Zhao, Chen& Han, Jungang& Jia, Yang& Fan, Lianghui& Gou, Fan. Versatile Framework for Medical Image Processing and Analysis with Application to Automatic Bone Age Assessment. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1184395
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184395