Medical image management and analysis system based on web for fungal keratitis images
The medical image management and analysis system proposed in this paper is a medical software developed by the Browser/Server (B/S) architecture after investigating the workflow of the relevant departments of the hospital, which realizes the entire process of patients from consultation to printing o...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2021-05-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2021183?viewType=HTML |
| _version_ | 1818863786189127680 |
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| author | Haixia Hou Yankun Cao Xiaoxiao Cui Zhi Liu Hongji Xu Cheng Wang Wensheng Zhang Yang Zhang Yadong Fang Yu Geng Wei Liang Tie Cai Hong Lai |
| author_facet | Haixia Hou Yankun Cao Xiaoxiao Cui Zhi Liu Hongji Xu Cheng Wang Wensheng Zhang Yang Zhang Yadong Fang Yu Geng Wei Liang Tie Cai Hong Lai |
| author_sort | Haixia Hou |
| collection | DOAJ |
| description | The medical image management and analysis system proposed in this paper is a medical software developed by the Browser/Server (B/S) architecture after investigating the workflow of the relevant departments of the hospital, which realizes the entire process of patients from consultation to printing of reports. The computer-aided diagnosis function is added based on image management. Due to the difficulty in collecting medical image data, in the computer-aided diagnosis module, this paper only uses the common fungal keratitis collected from the hospital in the laboratory. Focused microscope images are used for experiments. First, the images were trained with three convolutional neural networks, AlexNet, ZFNet, and VGG16. These models which classify fungal keratitis were obtained and integrated was performed to obtain better classification results. Finally, the model was integrated with the system designed in this paper, which realized the automatic diagnosis of Confocal Microscopy (CM) images of fungal keratitis online and provided it to medical staff for reference. The system can improve the work efficiency of the image-related departments while reducing the workload of doctors in the department to manually read the films. |
| first_indexed | 2024-12-19T10:21:17Z |
| format | Article |
| id | doaj.art-893f0172be8a4b42ad17ac7a80ce7cc0 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-12-19T10:21:17Z |
| publishDate | 2021-05-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-893f0172be8a4b42ad17ac7a80ce7cc02022-12-21T20:26:03ZengAIMS PressMathematical Biosciences and Engineering1551-00182021-05-011843667367910.3934/mbe.2021183Medical image management and analysis system based on web for fungal keratitis imagesHaixia Hou0Yankun Cao1Xiaoxiao Cui 2Zhi Liu3Hongji Xu4Cheng Wang5Wensheng Zhang6Yang Zhang 7Yadong Fang 8Yu Geng9Wei Liang10Tie Cai11Hong Lai 121. Centre of Information Security, Beijing University of Posts and Telecommunications, Beijing 100876, China 2. College of Science and Information, Qingdao Agricultural University, Qingdao 266109, China3. School of Information Science and Engineering, Shandong University, Qingdao 266237, China3. School of Information Science and Engineering, Shandong University, Qingdao 266237, China3. School of Information Science and Engineering, Shandong University, Qingdao 266237, China3. School of Information Science and Engineering, Shandong University, Qingdao 266237, China3. School of Information Science and Engineering, Shandong University, Qingdao 266237, China3. School of Information Science and Engineering, Shandong University, Qingdao 266237, China4. Department of Radiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, China5. Inspur Group Ltd, Jinan 250011, China6. School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China7. School of Electrical Engineering and Automation, Qilu University of Technology, Jinan 250353, China6. School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China6. School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, ChinaThe medical image management and analysis system proposed in this paper is a medical software developed by the Browser/Server (B/S) architecture after investigating the workflow of the relevant departments of the hospital, which realizes the entire process of patients from consultation to printing of reports. The computer-aided diagnosis function is added based on image management. Due to the difficulty in collecting medical image data, in the computer-aided diagnosis module, this paper only uses the common fungal keratitis collected from the hospital in the laboratory. Focused microscope images are used for experiments. First, the images were trained with three convolutional neural networks, AlexNet, ZFNet, and VGG16. These models which classify fungal keratitis were obtained and integrated was performed to obtain better classification results. Finally, the model was integrated with the system designed in this paper, which realized the automatic diagnosis of Confocal Microscopy (CM) images of fungal keratitis online and provided it to medical staff for reference. The system can improve the work efficiency of the image-related departments while reducing the workload of doctors in the department to manually read the films.https://www.aimspress.com/article/doi/10.3934/mbe.2021183?viewType=HTMLbrowser/serverconvolutional neural networkmedical image managementfungal keratitiscomputer-aided diagnosis |
| spellingShingle | Haixia Hou Yankun Cao Xiaoxiao Cui Zhi Liu Hongji Xu Cheng Wang Wensheng Zhang Yang Zhang Yadong Fang Yu Geng Wei Liang Tie Cai Hong Lai Medical image management and analysis system based on web for fungal keratitis images Mathematical Biosciences and Engineering browser/server convolutional neural network medical image management fungal keratitis computer-aided diagnosis |
| title | Medical image management and analysis system based on web for fungal keratitis images |
| title_full | Medical image management and analysis system based on web for fungal keratitis images |
| title_fullStr | Medical image management and analysis system based on web for fungal keratitis images |
| title_full_unstemmed | Medical image management and analysis system based on web for fungal keratitis images |
| title_short | Medical image management and analysis system based on web for fungal keratitis images |
| title_sort | medical image management and analysis system based on web for fungal keratitis images |
| topic | browser/server convolutional neural network medical image management fungal keratitis computer-aided diagnosis |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2021183?viewType=HTML |
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