Bone age estimation by deep learning in X-Ray medical images
Patient skeletal age estimation using a skeletal bone age assessment method is a time consuming and very boring process. Today, in order to overcome these deficiencies, computerized techniques are used to replace hand-held techniques in the medical industry, to the extent that this results in better...
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| Format: | Proceedings |
| Language: | English |
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Institute of Electrical and Electronics Engineers Inc.
2020
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/27891/1/Bone%20age%20estimation%20by%20deep%20learning%20in%20x-ray%20medical%20images-Abstract.pdf |
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| author | Behnam Kiani Kalejahi Saeed Meshgini Sabalan Daneshvar Ali Farzamnia |
| author_facet | Behnam Kiani Kalejahi Saeed Meshgini Sabalan Daneshvar Ali Farzamnia |
| author_sort | Behnam Kiani Kalejahi |
| collection | UMS |
| description | Patient skeletal age estimation using a skeletal bone age assessment method is a time consuming and very boring process. Today, in order to overcome these deficiencies, computerized techniques are used to replace hand-held techniques in the medical industry, to the extent that this results in better evaluation. The purpose of this research is to minimize the problems of the division of existing systems with deep learning algorithms and the high accuracy of diagnosis. The evaluation of skeletal bone age is the most clinical application for the study of endocrinology, genetic disorders and growth in young people. This assessment is usually performed using the radiologic analysis of the left wrist using the GP (Greulich-Pyle) technique or the TW (Tanner-Whitehouse) technique. Both techniques have many disadvantages, including a lack of human deductions from observations as well as being time-consuming. |
| first_indexed | 2024-03-06T03:08:09Z |
| format | Proceedings |
| id | ums.eprints-27891 |
| institution | Universiti Malaysia Sabah |
| language | English |
| last_indexed | 2024-03-06T03:08:09Z |
| publishDate | 2020 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | ums.eprints-278912021-07-07T06:48:20Z https://eprints.ums.edu.my/id/eprint/27891/ Bone age estimation by deep learning in X-Ray medical images Behnam Kiani Kalejahi Saeed Meshgini Sabalan Daneshvar Ali Farzamnia LB Theory and practice of education RC Internal medicine Patient skeletal age estimation using a skeletal bone age assessment method is a time consuming and very boring process. Today, in order to overcome these deficiencies, computerized techniques are used to replace hand-held techniques in the medical industry, to the extent that this results in better evaluation. The purpose of this research is to minimize the problems of the division of existing systems with deep learning algorithms and the high accuracy of diagnosis. The evaluation of skeletal bone age is the most clinical application for the study of endocrinology, genetic disorders and growth in young people. This assessment is usually performed using the radiologic analysis of the left wrist using the GP (Greulich-Pyle) technique or the TW (Tanner-Whitehouse) technique. Both techniques have many disadvantages, including a lack of human deductions from observations as well as being time-consuming. Institute of Electrical and Electronics Engineers Inc. 2020 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/27891/1/Bone%20age%20estimation%20by%20deep%20learning%20in%20x-ray%20medical%20images-Abstract.pdf Behnam Kiani Kalejahi and Saeed Meshgini and Sabalan Daneshvar and Ali Farzamnia (2020) Bone age estimation by deep learning in X-Ray medical images. https://www.scopus.com/record/display.uri?eid=2-s2.0-85098320862&origin=inward&txGid=058c05e1f826baaa814d848141a72803 |
| spellingShingle | LB Theory and practice of education RC Internal medicine Behnam Kiani Kalejahi Saeed Meshgini Sabalan Daneshvar Ali Farzamnia Bone age estimation by deep learning in X-Ray medical images |
| title | Bone age estimation by deep learning in X-Ray medical images |
| title_full | Bone age estimation by deep learning in X-Ray medical images |
| title_fullStr | Bone age estimation by deep learning in X-Ray medical images |
| title_full_unstemmed | Bone age estimation by deep learning in X-Ray medical images |
| title_short | Bone age estimation by deep learning in X-Ray medical images |
| title_sort | bone age estimation by deep learning in x ray medical images |
| topic | LB Theory and practice of education RC Internal medicine |
| url | https://eprints.ums.edu.my/id/eprint/27891/1/Bone%20age%20estimation%20by%20deep%20learning%20in%20x-ray%20medical%20images-Abstract.pdf |
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