| Wybrane publikacje |
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| 1 | Artykuł 2025
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| SE-DeepLabV3+: cervical cell segmentation and classification using a novel SE-based DeepLabV3+ and ensemble method. IEEE Access. 2025, vol. 13, s. 116430-116441. ISSN: 2169-3536 | | Zasoby:DOIURLSFX |     |
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| 2 | Referat konferencyjny 2025
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| ViT-SE_Res: a hybrid vision transformer and ResNet50V2 with squeeze-and-excitation block for cervical cell classification. W: Computational Science – ICCS 2025 Workshops : 25th International Conference, Singapore, Singapore, July 7-9, 2025 : Proceedings. Pt. 2 / eds. Maciej Paszynski, Amanda S. Barnard, Yongjie Jessica Zhang. Cham : Springer Nature Switzerland AG, cop. 2025. s. 11-23. ISBN: 978-3-031-97556-1; 978-3-031-97557-8 | | Zasoby:DOIURLSFX | |
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| 3 | Artykuł 2025
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| SPP-SegNet and SE-DenseNet201: a dual-model approach for cervical cell segmentation and classification. Cancers. 2025, vol. 17, nr 13, art. 2177, s. 1-13. ISSN: 2072-6694 | | Zasoby:DOIURLSFX | |
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| 4 | Artykuł 2025
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| A systematic review of effective data augmentation in cervical cancer detection. International Journal of Electronics and Telecommunications. 2025, vol. 71, nr 2, s. 369-377. ISSN: 2300-1933 | | Zasoby:DOIURLSFX | |
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| 5 | Referat konferencyjny 2025
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| Enhancing cervical cell classification with DenseNet201 and spatial attention mechanism. W: Advances in Dependable Systems and Networks : Proceedings of the Twentieth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 30 – July 3, 2025, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer Nature Switzerland AG, cop. 2025. s. 229-236. ISBN: 978-3-031-92733-1; 978-3-031-92734-8 | | Zasoby:DOIURLSFX | |
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| 6 | Referat konferencyjny 2024
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| Cervical cell segmentation and classification using U-Net and hybrid VGG19-AlexNet architecture. W: 2024 International Conference on Information and Communication Technology for Development for Africa (ICT4DA), Bahir Dar, Ethiopia, November 18-20, 2024 / eds. Esubalew Alemneh, Fisseha Mekuria, Ethiopia Nigussie. Danvers, MA : IEEE, cop. 2024. s. 37-42. ISBN: 979-8-3315-2780-8; 979-8-3315-2779-2 | | Zasoby:DOIURL | |
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| 7 | Artykuł 2024
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| Classification of cervical cells from the Pap smear image using the RES_DCGAN data augmentation and ResNet50V2 with self-attention architecture. Neural Computing & Applications. 2024, vol. 36, s. 21801-21815. ISSN: 0941-0643; 1433-3058 | | Zasoby:DOIURLSFX | |
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| 8 | Artykuł 2024
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| Segmentation and classification techniques for pap smear images in detecting cervical cancer: a systematic review. IEEE Access. 2024, vol. 12, s. 118195-118213. ISSN: 2169-3536 | | Zasoby:DOIURLSFX | |
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| 9 | Referat konferencyjny 2024
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| Segmentation of cytology images to detect cervical cancer using deep learning techniques. W: Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024 : Proceedings. Pt. 4 / eds. Leonardo Franco [i in.]. Cham : Springer, cop. 2024. s. 270-278. ISBN: 978-3-031-63771-1; 978-3-031-63772-8 | | Zasoby:DOIURLSFX | |
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| 10 | Referat konferencyjny 2024
Betelhem Wubineh, Andrzej Rusiecki, Krzysztof Halawa,| Data augmentation techniques to detect cervical cancer using deep learning: a systematic review. W: System Dependability - Theory and Applications : Proceedings of the Nineteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, July 1-5, 2024, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2024. s. 325-336. ISBN: 978-3-031-61856-7; 978-3-031-61857-4 | | Zasoby:DOIURLSFX | |
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