Classification of chest radiography from general radiography using deep learning approach
Classifying x-ray images into individual classes of body parts is needed, when they are mixed without proper labels. This paper proposes a hierarchical training of convolutional neural network (CNN)-based framework, for classifying chest posterior–anterior (PA) x-ray images from other 12 classes. Th...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-06-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959522001047 |
| _version_ | 1797796149998911488 |
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| author | Trongtum Tongdee Worapan Kusakunniran Thanongchai Siriapisith Pairash Saiviroonporn Thanandon Imaromkul Pakorn Yodprom |
| author_facet | Trongtum Tongdee Worapan Kusakunniran Thanongchai Siriapisith Pairash Saiviroonporn Thanandon Imaromkul Pakorn Yodprom |
| author_sort | Trongtum Tongdee |
| collection | DOAJ |
| description | Classifying x-ray images into individual classes of body parts is needed, when they are mixed without proper labels. This paper proposes a hierarchical training of convolutional neural network (CNN)-based framework, for classifying chest posterior–anterior (PA) x-ray images from other 12 classes. The first model is constructed for filtering chest PA from the other classes, before constructing the second model to separate the rest of the 12 classes. This is beneficial to address class-imbalanced and overfitting problems, with assists of class weighting and data augmentation. The proposed method achieves promising performances with precision and recall of 100% and F0.5of 99%. |
| first_indexed | 2024-03-13T03:28:45Z |
| format | Article |
| id | doaj.art-c71f55e3c6f64a609bea5a3f809899c4 |
| institution | Directory Open Access Journal |
| issn | 2405-9595 |
| language | English |
| last_indexed | 2024-03-13T03:28:45Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj.art-c71f55e3c6f64a609bea5a3f809899c42023-06-25T04:43:20ZengElsevierICT Express2405-95952023-06-0193313319Classification of chest radiography from general radiography using deep learning approachTrongtum Tongdee0Worapan Kusakunniran1Thanongchai Siriapisith2Pairash Saiviroonporn3Thanandon Imaromkul4Pakorn Yodprom5Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, ThailandFaculty of Information and Communication Technology, Mahidol University, Nakhon Pathom, Thailand; Corresponding author.Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, ThailandDepartment of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, ThailandFaculty of Information and Communication Technology, Mahidol University, Nakhon Pathom, ThailandDepartment of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, ThailandClassifying x-ray images into individual classes of body parts is needed, when they are mixed without proper labels. This paper proposes a hierarchical training of convolutional neural network (CNN)-based framework, for classifying chest posterior–anterior (PA) x-ray images from other 12 classes. The first model is constructed for filtering chest PA from the other classes, before constructing the second model to separate the rest of the 12 classes. This is beneficial to address class-imbalanced and overfitting problems, with assists of class weighting and data augmentation. The proposed method achieves promising performances with precision and recall of 100% and F0.5of 99%.http://www.sciencedirect.com/science/article/pii/S2405959522001047Chest PAX-rayHierarchical filtering |
| spellingShingle | Trongtum Tongdee Worapan Kusakunniran Thanongchai Siriapisith Pairash Saiviroonporn Thanandon Imaromkul Pakorn Yodprom Classification of chest radiography from general radiography using deep learning approach ICT Express Chest PA X-ray Hierarchical filtering |
| title | Classification of chest radiography from general radiography using deep learning approach |
| title_full | Classification of chest radiography from general radiography using deep learning approach |
| title_fullStr | Classification of chest radiography from general radiography using deep learning approach |
| title_full_unstemmed | Classification of chest radiography from general radiography using deep learning approach |
| title_short | Classification of chest radiography from general radiography using deep learning approach |
| title_sort | classification of chest radiography from general radiography using deep learning approach |
| topic | Chest PA X-ray Hierarchical filtering |
| url | http://www.sciencedirect.com/science/article/pii/S2405959522001047 |
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