An overview on effectiveness of activation functions in processing medical images
This study studies the impact of activation functions in the field of machine learning and deep learning in general and especially on medical images for different aims such as classification, clustering, feature engineering. Important components that add nonlinearity and allow networks to learn intr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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ivySCI
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/43850/ http://umpir.ump.edu.my/id/eprint/43850/1/An%20overview%20on%20effectiveness%20of%20activation%20functions%20in%20processing%20medical%20images.pdf |
| _version_ | 1848826974524407808 |
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| author | Al-Shoukry, Suhad Zalili, Musa |
| author_facet | Al-Shoukry, Suhad Zalili, Musa |
| author_sort | Al-Shoukry, Suhad |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | This study studies the impact of activation functions in the field of machine learning and deep learning in general and especially on medical images for different aims such as classification, clustering, feature engineering. Important components that add nonlinearity and allow networks to learn intricate patterns are activation extraction, training and etc. The study first starts by explaining various activation function types that are commonly used in NN applications and fields. Subsequently, a comprehensive comparative analysis is conducted, to evaluate how activation functions perform in terms of accuracy and their impact on speed convergence. Understanding how activation functions impact the categorization of medical imagery is crucial to the study's findings. In additions, the study illustrates overview of which activation functions yield optimal results. The Main results contribute how to select best activation functions that suits most accurate and efficient medical image classification basedon this overview, any researcher can choose best activation function after reading this overview. |
| first_indexed | 2025-11-15T03:53:21Z |
| format | Article |
| id | ump-43850 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:53:21Z |
| publishDate | 2024 |
| publisher | ivySCI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-438502025-02-18T07:16:36Z http://umpir.ump.edu.my/id/eprint/43850/ An overview on effectiveness of activation functions in processing medical images Al-Shoukry, Suhad Zalili, Musa QA75 Electronic computers. Computer science This study studies the impact of activation functions in the field of machine learning and deep learning in general and especially on medical images for different aims such as classification, clustering, feature engineering. Important components that add nonlinearity and allow networks to learn intricate patterns are activation extraction, training and etc. The study first starts by explaining various activation function types that are commonly used in NN applications and fields. Subsequently, a comprehensive comparative analysis is conducted, to evaluate how activation functions perform in terms of accuracy and their impact on speed convergence. Understanding how activation functions impact the categorization of medical imagery is crucial to the study's findings. In additions, the study illustrates overview of which activation functions yield optimal results. The Main results contribute how to select best activation functions that suits most accurate and efficient medical image classification basedon this overview, any researcher can choose best activation function after reading this overview. ivySCI 2024-05-22 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/43850/1/An%20overview%20on%20effectiveness%20of%20activation%20functions%20in%20processing%20medical%20images.pdf Al-Shoukry, Suhad and Zalili, Musa (2024) An overview on effectiveness of activation functions in processing medical images. Al-Furat Journal of Innovations in Electronics and Computer Engineering, 3 (2). pp. 1-18. ISSN 2708-3985. (Published) https://doi.org/10.46649/fjiece.v3.2.13a.22.5.2024 https://doi.org/10.46649/fjiece.v3.2.13a.22.5.2024 |
| spellingShingle | QA75 Electronic computers. Computer science Al-Shoukry, Suhad Zalili, Musa An overview on effectiveness of activation functions in processing medical images |
| title | An overview on effectiveness of activation functions in processing medical images |
| title_full | An overview on effectiveness of activation functions in processing medical images |
| title_fullStr | An overview on effectiveness of activation functions in processing medical images |
| title_full_unstemmed | An overview on effectiveness of activation functions in processing medical images |
| title_short | An overview on effectiveness of activation functions in processing medical images |
| title_sort | overview on effectiveness of activation functions in processing medical images |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/43850/ http://umpir.ump.edu.my/id/eprint/43850/ http://umpir.ump.edu.my/id/eprint/43850/ http://umpir.ump.edu.my/id/eprint/43850/1/An%20overview%20on%20effectiveness%20of%20activation%20functions%20in%20processing%20medical%20images.pdf |