An overview of deep learning applications in precocious puberty and thyroid dysfunction
In the last decade, deep learning methods have garnered a great deal of attention in endocrinology research. In this article, we provide a summary of current deep learning applications in endocrine disorders caused by either precocious onset of adult hormone or abnormal amount of hormone production....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Endocrinology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2022.959546/full |
| _version_ | 1811251084892569600 |
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| author | Misbah Razzaq Frédérique Clément Romain Yvinec Romain Yvinec |
| author_facet | Misbah Razzaq Frédérique Clément Romain Yvinec Romain Yvinec |
| author_sort | Misbah Razzaq |
| collection | DOAJ |
| description | In the last decade, deep learning methods have garnered a great deal of attention in endocrinology research. In this article, we provide a summary of current deep learning applications in endocrine disorders caused by either precocious onset of adult hormone or abnormal amount of hormone production. To give access to the broader audience, we start with a gentle introduction to deep learning and its most commonly used architectures, and then we focus on the research trends of deep learning applications in thyroid dysfunction classification and precocious puberty diagnosis. We highlight the strengths and weaknesses of various approaches and discuss potential solutions to different challenges. We also go through the practical considerations useful for choosing (and building) the deep learning model, as well as for understanding the thought process behind different decisions made by these models. Finally, we give concluding remarks and future directions. |
| first_indexed | 2024-04-12T16:15:13Z |
| format | Article |
| id | doaj.art-21414d9d548a4a59a478debe6e8c2db7 |
| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-04-12T16:15:13Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj.art-21414d9d548a4a59a478debe6e8c2db72022-12-22T03:25:45ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-10-011310.3389/fendo.2022.959546959546An overview of deep learning applications in precocious puberty and thyroid dysfunctionMisbah Razzaq0Frédérique Clément1Romain Yvinec2Romain Yvinec3PRC, INRAE, CNRS, Université de Tours, Nouzilly, FranceUniversité Paris-Saclay, Inria, Centre Inria de Saclay, Palaiseau, FrancePRC, INRAE, CNRS, Université de Tours, Nouzilly, FranceUniversité Paris-Saclay, Inria, Centre Inria de Saclay, Palaiseau, FranceIn the last decade, deep learning methods have garnered a great deal of attention in endocrinology research. In this article, we provide a summary of current deep learning applications in endocrine disorders caused by either precocious onset of adult hormone or abnormal amount of hormone production. To give access to the broader audience, we start with a gentle introduction to deep learning and its most commonly used architectures, and then we focus on the research trends of deep learning applications in thyroid dysfunction classification and precocious puberty diagnosis. We highlight the strengths and weaknesses of various approaches and discuss potential solutions to different challenges. We also go through the practical considerations useful for choosing (and building) the deep learning model, as well as for understanding the thought process behind different decisions made by these models. Finally, we give concluding remarks and future directions.https://www.frontiersin.org/articles/10.3389/fendo.2022.959546/fulldeep learningendocrinologythyroid dysfunctionartificial intelligenceprecocious pubertysupervised learning |
| spellingShingle | Misbah Razzaq Frédérique Clément Romain Yvinec Romain Yvinec An overview of deep learning applications in precocious puberty and thyroid dysfunction Frontiers in Endocrinology deep learning endocrinology thyroid dysfunction artificial intelligence precocious puberty supervised learning |
| title | An overview of deep learning applications in precocious puberty and thyroid dysfunction |
| title_full | An overview of deep learning applications in precocious puberty and thyroid dysfunction |
| title_fullStr | An overview of deep learning applications in precocious puberty and thyroid dysfunction |
| title_full_unstemmed | An overview of deep learning applications in precocious puberty and thyroid dysfunction |
| title_short | An overview of deep learning applications in precocious puberty and thyroid dysfunction |
| title_sort | overview of deep learning applications in precocious puberty and thyroid dysfunction |
| topic | deep learning endocrinology thyroid dysfunction artificial intelligence precocious puberty supervised learning |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2022.959546/full |
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