Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network
Polycystic Ovarian Syndrome (PCOS) is a hormonal disorder that impacts women during their reproductive years, marked by indicators like multiple ovarian follicles or cysts that can be visualized through ultrasound imaging. Convolution Neural Networks (ConvNets) have been enhanced with self-attention...
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2023
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| Online Access: | https://bspace.buid.ac.ae/handle/1234/3097 https://doi.org/10.1109/ACIT58888.2023.10453748. |
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| _version_ | 1862980616908177408 |
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| author | Tiwari, Shamik |
| author2 | Maheshwari, Piyush |
| author2_role | author |
| author_facet | Tiwari, Shamik Maheshwari, Piyush |
| author_role | author |
| dc.creator.none.fl_str_mv | Tiwari, Shamik Maheshwari, Piyush |
| dc.date.none.fl_str_mv | 2023 2025-05-22T12:39:34Z 2025-05-22T12:39:34Z |
| dc.identifier.none.fl_str_mv | Tiwari, S., Maheshwari, P. and 2023 24th International Arab Conference on Information Technology (ACIT) Ajman, United Arab Emirates 2023 Dec. 6 - 2023 Dec. 8 (2023) “Polycystic Ovarian Syndrome Identification Through Self-Attention Guided Convolutional Neural Network,” in 2023 24th International Arab Conference on Information Technology (ACIT), pp. 1–6. 2831-4948 https://bspace.buid.ac.ae/handle/1234/3097 https://doi.org/10.1109/ACIT58888.2023.10453748. |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Institute of Electrical and Electronics Engineers Inc. |
| dc.relation.none.fl_str_mv | 2023 24th International Arab Conference on Information Technology (ACIT)1-6 |
| dc.subject.none.fl_str_mv | PCOS; ConvNet; Sellf-attention ConvNet; Classification. |
| dc.title.none.fl_str_mv | Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network |
| dc.type.none.fl_str_mv | Article |
| description | Polycystic Ovarian Syndrome (PCOS) is a hormonal disorder that impacts women during their reproductive years, marked by indicators like multiple ovarian follicles or cysts that can be visualized through ultrasound imaging. Convolution Neural Networks (ConvNets) have been enhanced with self-attention mechanisms to improve their efficacy across a variety of computer vision applications, according to researchers. This study uses self-attention to improve the effectiveness of a ConvNet classifier in classifying PCOS, yielding a superior 99% accuracy, exceeding the 96% accuracy of a regular ConvNet classifier. |
| id | budr_a02ff699d64d6ec3cb5e28e9366fe7ec |
| identifier_str_mv | Tiwari, S., Maheshwari, P. and 2023 24th International Arab Conference on Information Technology (ACIT) Ajman, United Arab Emirates 2023 Dec. 6 - 2023 Dec. 8 (2023) “Polycystic Ovarian Syndrome Identification Through Self-Attention Guided Convolutional Neural Network,” in 2023 24th International Arab Conference on Information Technology (ACIT), pp. 1–6. 2831-4948 |
| language_invalid_str_mv | en |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/3097 |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Institute of Electrical and Electronics Engineers Inc. |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural NetworkTiwari, ShamikMaheshwari, PiyushPCOS; ConvNet; Sellf-attention ConvNet; Classification.Polycystic Ovarian Syndrome (PCOS) is a hormonal disorder that impacts women during their reproductive years, marked by indicators like multiple ovarian follicles or cysts that can be visualized through ultrasound imaging. Convolution Neural Networks (ConvNets) have been enhanced with self-attention mechanisms to improve their efficacy across a variety of computer vision applications, according to researchers. This study uses self-attention to improve the effectiveness of a ConvNet classifier in classifying PCOS, yielding a superior 99% accuracy, exceeding the 96% accuracy of a regular ConvNet classifier.Institute of Electrical and Electronics Engineers Inc.2025-05-22T12:39:34Z2025-05-22T12:39:34Z2023ArticleTiwari, S., Maheshwari, P. and 2023 24th International Arab Conference on Information Technology (ACIT) Ajman, United Arab Emirates 2023 Dec. 6 - 2023 Dec. 8 (2023) “Polycystic Ovarian Syndrome Identification Through Self-Attention Guided Convolutional Neural Network,” in 2023 24th International Arab Conference on Information Technology (ACIT), pp. 1–6.2831-4948https://bspace.buid.ac.ae/handle/1234/3097https://doi.org/10.1109/ACIT58888.2023.10453748.en2023 24th International Arab Conference on Information Technology (ACIT)1-6oai:bspace.buid.ac.ae:1234/30972025-05-22T12:44:35Z |
| spellingShingle | Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network Tiwari, Shamik PCOS; ConvNet; Sellf-attention ConvNet; Classification. |
| title | Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network |
| title_full | Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network |
| title_fullStr | Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network |
| title_full_unstemmed | Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network |
| title_short | Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network |
| title_sort | Polycystic Ovarian Syndrome Identification through Self-Attention Guided Convolutional Neural Network |
| topic | PCOS; ConvNet; Sellf-attention ConvNet; Classification. |
| url | https://bspace.buid.ac.ae/handle/1234/3097 https://doi.org/10.1109/ACIT58888.2023.10453748. |