A Digital Platform for Cervical Cancer Diagnosis & Management

PAPS AI

What we do

PapsAI is a digital platform which speeds up cervical cancer diagnosis in LMIC. PapsAI, an AI empowered integrated cervical cancer management platform, will revolutionize cervical cancer management in Uganda. It uses cutting-edge technology to better track patients and diagnoses.

The Platform consists of:
  • CerviDMP – an AI Empowered cervical cancer patients’ information management platform. The platform provides a secure storage of patient data for schedule management, telemedicine support, prediction, collaboration, recurrence and decision support. The platform also provides automated risk factors assessment and analysis of pap-smears and provide useful information about cervical cancer to the public.
  • CerviMAP – A mobile application version of CerviDMP
  • CerviMICroscope – A low cost digital microscope slide scanner to produce quick, reliable and high-resolution cervical cell images from pap-smear slides that can be analysed automatically. The microscope is fully automated and produces high quality images comparable to those obtained using commercial microscopes. CerviMIC provides Televiewing and Diagnosis

News

Publications

[1] W. William, A. Ware, A. H. Basaza-Ejiri, and J. Obungoloch, “Cervical cancer classification from Pap-smears using an enhanced fuzzy C-means algorithm,” Informatics Med. Unlocked, 2019.

[2] W. William, A. Ware, A. H. Basaza-Ejiri, and J. Obungoloch, “A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images,” Biomed. Eng. Online, Dec. 2019.

[3] W. William, A. Ware, A. H. Basaza-Ejiri, and J. Obungoloch, “A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images,” Comput. Methods Programs Biomed., vol. 164, pp. 15–22, Oct. 2018.

[4] Wasswa William, Annabella Habinka Basaza-Ejiri, Johnes Obungoloch, and Andrew Ware, “A Review of Applications of Image Analysis and Machine Learning Techniques in Automated Diagnosis and Classification of Cervical Cancer from Pap-smear Images,” in 2018 IST-Africa Week Conference (IST-Africa), 2018.

[5] W. William, A. Ware, A. H. Basaza-Ejiri, and J. Obungoloch, “Automated Diagnosis and Classification of Cervical Cancer from pap-smear Images,” in 2019 IST-Africa Week Conference, IST-Africa 2019, 2019.

PAPS AI

Scientific Presentations

2019 International Conference on Artificial Intelligence, Information Processing and Cloud Computing (AIIPCC 2019): Sanya, China.

ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H), Zanzibar, Tanzania, 2-5 September 2019.

Commonwealth Health Ministers Meeting, Geneva, Switzerland, 19 May 2019. The annual Commonwealth Health Ministers gathered officials from 53 countries to discuss how to accelerate universal health coverage (UHC). PapsAI was the only innovation presented from Africa.

Expert Consultations on Artificial Intelligence Workshop in Johannesburg, South Africa from May 29-31, 2019. AI experts consultative meeting to build up on the AI report to be presented to Heads of State at the African Union.

Second WHO Africa Health Forum 26-28 March 2019, Praia, Cabo Verde. The event deliberated on improving health security, progress towards equity and universal health coverage, and the unfinished agenda of communicable diseases, while exploring the new Sustainable Development Goal targets, and tackling social and economic determinants of health in Africa. PapsAI A digital pathology Platform for Automated Diagnosis and Classification of cervical cancer from pap-smear images was selected for show casing among the 30 WHO Africa top innovations.

IST-Africa 2019 Conference, Laico Regency Hotel, Nairobi, 08 - 10 May 2019. Wasswa William, Annabella Habinka Basaza-Ejiri, Johnes Obungoloch, and Andrew Ware, “Automated Diagnosis and Classification of Cervical Cancer from pap-smear Images” in 2019 IST-Africa Week Conference (IST-Africa), 2019. https://ieeexplore.ieee.org/document/8417373

IST-Africa 2018 Conference, Gaborone International Conference Centre, Botswana, 09 - 11 May 2018. Wasswa William, Annabella Habinka Basaza-Ejiri, Johnes Obungoloch, and Andrew Ware, “A Review of Applications of Image Analysis and Machine Learning Techniques in Automated Diagnosis and Classification of Cervical Cancer from Pap-smear Images,” in 2018 IST-Africa Week Conference (IST-Africa), 2018. https://ieeexplore.ieee.org/document/8417373

The 6th East African Healthcare Engineering Regional Conference and Exhibition (EARC 2018) 28-29th Nov, Uganda.

Health Innovations Conference, 19-20 March, 2019, Kampala Serena Hotel. Automated Analysis of pap-smear images using Machine Learning.

15th International Congress on American Pathology and Oncology Research (2018). Automated segmentation of cervical cell nucleus using a pixel level classifier.

National Cancer Research Institute, UK. Partners in Cancer Research Conference Glasgow, 2018. Policy belief: Digitization of cervical cancer workflows in LMIC.

OUR
PARTNERS

PapsAI Research and Development has received support from.