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Prosper Oyibo
(e/fe)
BEng (Hons), MSc, PhD
Timau a rolau for Prosper Oyibo
Cydymaith Ymchwil
Darlithydd
Trosolwg
Rwy'n Gydymaith Ymchwil mewn Peirianneg Feddygol yn y Grŵp Delweddu Bywyd a Dadansoddi Data ym Mhrifysgol Caerdydd. Mae fy ngwaith yn canolbwyntio ar bontio'r bwlch rhwng arloesedd technolegol uwch a thegwch iechyd byd-eang trwy gyd-ddylunio systemau diagnostig deallus.
Ar hyn o bryd, rwy'n arwain datblygiad technegol SPAARC, platfform radiomeg uwch a dadansoddi delweddau meddygol ar gyfer diagnosis canser. Mae'r gwaith hwn yn cael ei gefnogi gan grant Cyfrif Cyflymu Effaith EPSRC i yrru cyfieithu clinigol a masnachol yr offer rhagfynegol hyn.
Mae fy sylfaen ymchwil yn unigryw yn cyfuno peirianneg caledwedd optegol ffisegol gyda AI uwch. Yn ystod fy PhD mewn Systemau a Rheoli ym Mhrifysgol Technoleg Delft, peiriannau'r "Schistoscope", microsgop digidol ffynhonnell agored, wedi'i bweru gan AI ar gyfer lleoliadau cyfyngedig o adnoddau. Llwyddais i gyfieithu'r ddyfais hon i'r maes, gan arwain astudiaethau dilysu rhyngwladol yn Nigeria a Gabon a gyflawnodd gywirdeb diagnostig uchel ar draws miloedd o samplau clinigol.
Mae fy niddordebau ymchwil ehangach yn cynnwys hyrwyddo delweddu cyfrifiadurol wedi'i ddiffinio gan feddalwedd, yn enwedig defnyddio Microsgopeg Ptycograffig Fourier (FPM) i oresgyn cyfyngiadau ffisegol opteg confensiynol. Trwy'r dull hwn, rwy'n anelu at ddemocrateiddio mynediad at sgrinio perfformiad uchel ar gyfer clefydau fel malaria a chanser ceg y groth mewn gwledydd incwm isel a chanolig.
Cyhoeddiad
2025
- Oyibo, P. et al. 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) 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 2025. Radiotherapy 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. Published in: 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. et al. 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) 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 (04) 044005. (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 2022. Proceedings 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) 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)
2020
- Carel Diehl, J. et al., 2020. 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 2020. Proceedings of 2020 IEEE Global Humanitarian Technology Conference (GHTC). IEEE. (10.1109/ghtc46280.2020.9342871)
Cynadleddau
- 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 2025. Radiotherapy 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. Published in: 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 2022. Proceedings of Global Humanitarian Technology Conference. IEEE. , pp.17-22. (10.1109/GHTC55712.2022.9911019)
- Carel Diehl, J. et al., 2020. 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 2020. Proceedings of 2020 IEEE Global Humanitarian Technology Conference (GHTC). IEEE. (10.1109/ghtc46280.2020.9342871)
Erthyglau
- Oyibo, P. et al. 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) 21495. (10.1038/s41598-025-02755-9)
- Oyibo, P. et al. 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) 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 (04) 044005. (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) 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)
Addysgu
Ar hyn o bryd, rwy'n addysgu delweddu meddygol i fyfyrwyr Peirianneg Feddygol trydedd a phedwaredd flwyddyn.
Bywgraffiad
- 2019-2025: PhD mewn Peirianneg Systemau a Rheoli, 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 mewn Peirianneg Rheoli, Prifysgol Ahmadu Bello, Zaria, Nigeria. Teitl : Datblygu algorithm canfod llinell bŵer ar gyfer delweddau optegol (Goruchwylwyr: Yr Athro MB Mu'azu, Yr Athro Boyi Jimoh).
Contact Details
[email protected]
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