![Prosper Oyibo](https://profiles-cardiff.imgix.net/attachments/5292?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Trosolwyg
Mae fy nhaith academaidd wedi canolbwyntio'n bennaf ar ddatblygu diagnosteg awtomataidd ar gyfer clefydau parasitig sy'n gysylltiedig â thlodi yn ystod fy astudiaethau doethurol ym Mhrifysgol Technoleg Delft. Mae gen i brofiad cyfoethog mewn ymchwil amlddisgyblaethol, gan gydweithio â rhanddeiliaid o sectorau amrywiol, gan gynnwys cyrff anllywodraethol, meddygaeth, parasitoleg, iechyd cyhoeddus, llywodraeth a pheirianneg. Drwy'r cydweithrediadau hyn, rwyf wedi llwyddo i gyflwyno ymchwil gyda chanlyniadau cymdeithasol effaith uchel.
Ar hyn o bryd, mae fy ymchwil yn canolbwyntio ar ddatblygu a dilysu meddalwedd dadansoddi delweddau meddygol meintiol aml-foddoldeb ar gyfer diagnosis canser. Mae'r gwaith hwn yn cynrychioli dilyniant naturiol yn fy arbenigedd, gan gyfuno fy nghefndir mewn diagnosteg awtomataidd â datblygiadau arloesol mewn technoleg delweddu feddygol.
Cyhoeddiad
2025
- Oyibo, P., Meulah, B., Agbana, T., van Lieshout, L., Oyibo, W., Vdovine, G. and Diehl, J. C. 2025. Deep learning-based automated detection and multiclass classification of soil-transmitted helminths and Schistosoma mansoni eggs in fecal smear images. Scientific Reports 15(1), article number: 21495. (10.1038/s41598-025-02755-9)
- Oyibo, P. et al. 2025. 3D DeepLab-based automated GTV segmentation in head and neck cancer using PET/CT imaging. Presented at: ESTRO 2025, Vienna, Austria, 2 - 6 May 2025Radiotherapy and Oncology, Vol. 206. Elsevier pp. S2536-S2538., (10.1016/S0167-8140(25)01892-4)
2024
- Oyibo, P., Brynolfsson, P. and Spezi, E. 2024. Integrating radiomic image analysis in the Hero Imaging platform. Presented at: Cardiff University School of Engineering Research Conference 2024, Cardiff, UK, 12th - 14th June 2024 Presented at Spezi, E. and Bray, M. eds.Proceedings of the Cardiff University School of Engineering Research Conference 2024. Cardiff University Press pp. 23-27., (10.18573/conf3.g)
- Oyibo, P., Agbana, T., van Lieshout, L., Oyibo, W., Diehl, J. and Vdovine, G. 2024. An automated slide scanning system for membrane filter imaging in diagnosis of urogenital schistosomiasis. Journal of Microscopy 294(1), pp. 52-61. (10.1111/jmi.13269)
- Meulah, B. et al. 2024. Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon. PLoS Neglected Tropical Diseases 18(2), article number: e0011967. (10.1371/journal.pntd.0011967)
2023
- Oyibo, P. et al. 2023. Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings. Journal of Medical Imaging 10(4), article number: 44005. (10.1117/1.JMI.10.4.044005)
2022
- Bengtson, M. et al. 2022. A usability study of an innovative optical device for the diagnosis of schistosomiasis in Nigeria. Presented at: Global Humanitarian Technology Conference (GHTC), Santa Clara, CA, USA, 8-11 September 2022Proceedings of Global Humanitarian Technology Conference. IEEE pp. 17-22., (10.1109/GHTC55712.2022.9911019)
- Oyibo, P. et al. 2022. Schistoscope: An automated microscope with artificial intelligence for detection of schistosoma haematobium eggs in resource-limited settings. Micromachines 13(5), article number: 643. (10.3390/mi13050643)
- Meulah, B. et al. 2022. Performance evaluation of the Schistoscope 5.0 for (semi-)automated digital detection and quantification of schistosoma haematobium eggs in Urine: A field-based study in Nigeria. American Journal of Tropical Medicine and Hygiene 107(5), pp. 1047–1054. (10.4269/ajtmh.22-0276)
2021
- Carel Diehl, J., Oyibo, P., Agbana, T., Jujjavarapu, S., Van, G., Vdovin, G. and Oyibo, W. 2021. Schistoscope: smartphone versus Raspberry Pi based low-cost diagnostic device for urinary Schistosomiasis. Presented at: 2020 IEEE Global Humanitarian Technology Conference (GHTC), Seattle, 29 October - 1 November 2020Proceedings of 2020 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, (10.1109/ghtc46280.2020.9342871)
Articles
- Oyibo, P., Meulah, B., Agbana, T., van Lieshout, L., Oyibo, W., Vdovine, G. and Diehl, J. C. 2025. Deep learning-based automated detection and multiclass classification of soil-transmitted helminths and Schistosoma mansoni eggs in fecal smear images. Scientific Reports 15(1), article number: 21495. (10.1038/s41598-025-02755-9)
- Oyibo, P., Agbana, T., van Lieshout, L., Oyibo, W., Diehl, J. and Vdovine, G. 2024. An automated slide scanning system for membrane filter imaging in diagnosis of urogenital schistosomiasis. Journal of Microscopy 294(1), pp. 52-61. (10.1111/jmi.13269)
- Meulah, B. et al. 2024. Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon. PLoS Neglected Tropical Diseases 18(2), article number: e0011967. (10.1371/journal.pntd.0011967)
- Oyibo, P. et al. 2023. Two-stage automated diagnosis framework for urogenital schistosomiasis in microscopy images from low-resource settings. Journal of Medical Imaging 10(4), article number: 44005. (10.1117/1.JMI.10.4.044005)
- Oyibo, P. et al. 2022. Schistoscope: An automated microscope with artificial intelligence for detection of schistosoma haematobium eggs in resource-limited settings. Micromachines 13(5), article number: 643. (10.3390/mi13050643)
- Meulah, B. et al. 2022. Performance evaluation of the Schistoscope 5.0 for (semi-)automated digital detection and quantification of schistosoma haematobium eggs in Urine: A field-based study in Nigeria. American Journal of Tropical Medicine and Hygiene 107(5), pp. 1047–1054. (10.4269/ajtmh.22-0276)
Conferences
- Oyibo, P. et al. 2025. 3D DeepLab-based automated GTV segmentation in head and neck cancer using PET/CT imaging. Presented at: ESTRO 2025, Vienna, Austria, 2 - 6 May 2025Radiotherapy and Oncology, Vol. 206. Elsevier pp. S2536-S2538., (10.1016/S0167-8140(25)01892-4)
- Oyibo, P., Brynolfsson, P. and Spezi, E. 2024. Integrating radiomic image analysis in the Hero Imaging platform. Presented at: Cardiff University School of Engineering Research Conference 2024, Cardiff, UK, 12th - 14th June 2024 Presented at Spezi, E. and Bray, M. eds.Proceedings of the Cardiff University School of Engineering Research Conference 2024. Cardiff University Press pp. 23-27., (10.18573/conf3.g)
- Bengtson, M. et al. 2022. A usability study of an innovative optical device for the diagnosis of schistosomiasis in Nigeria. Presented at: Global Humanitarian Technology Conference (GHTC), Santa Clara, CA, USA, 8-11 September 2022Proceedings of Global Humanitarian Technology Conference. IEEE pp. 17-22., (10.1109/GHTC55712.2022.9911019)
- Carel Diehl, J., Oyibo, P., Agbana, T., Jujjavarapu, S., Van, G., Vdovin, G. and Oyibo, W. 2021. Schistoscope: smartphone versus Raspberry Pi based low-cost diagnostic device for urinary Schistosomiasis. Presented at: 2020 IEEE Global Humanitarian Technology Conference (GHTC), Seattle, 29 October - 1 November 2020Proceedings of 2020 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, (10.1109/ghtc46280.2020.9342871)
Bywgraffiad
- 2019-2024: PhD mewn Peirianneg System a Rheolaeth, Prifysgol Technoleg Delft, Yr Iseldiroedd. Teitl : Datblygu dyfais ddiagnostig optegol smart ar gyfer clefydau parasitig (Goruchwylwyr: Yr Athro Gleb Vdovine, Yr Athro Jan-Carel Diehl, Yr Athro Wellington Oyibo).
- 2014-2017: Meistr Peirianneg Reoli, Prifysgol Ahmadu Bello, Zaria, Nigeria. Teitl : Datblygu algorithm canfod llinell bŵer ar gyfer delweddau optegol (Goruchwylwyr: Yr Athro M. B. Mu'azu, Yr Athro Boyi Jimoh).
Contact Details
OyiboP@caerdydd.ac.uk
Adeiladau'r Frenhines - Adeilad y Gogledd, Ystafell N1.51, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA
Adeiladau'r Frenhines - Adeilad y Gogledd, Ystafell N1.51, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA
Arbenigeddau
- Golwg cyfrifiadurol
- Dysgu peirianyddol
- Microsgopeg Digidol
- Dadansoddiad delwedd feddygol
- Peirianneg rheoli