Search Results - "Wasswa, William"

A pap-smear analysis tool (PAT) for detection of cervical cancer from pap-smear images by William, Wasswa, Ware, Andrew, Basaza-Ejiri, Annabella Habinka, Obungoloch, Johnes

“…Cervical cancer is preventable if effective screening measures are in place. Pap-smear is the commonest technique used for early screening and diagnosis of…”
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A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images by William, Wasswa, Ware, Andrew, Basaza-Ejiri, Annabella Habinka, Obungoloch, Johnes

“…•We present an overview of the state of the art as articulated in several prominent recent publications focusing on automated detection of cervical cancer from…”
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Leveraging innovation technologies to respond to malaria: a systematized literature review of emerging technologies by Chibi, Moredreck, Wasswa, William, Ngongoni, Chipo, Baba, Ebenezer, Kalu, Akpaka

“…In 2019, an estimated 409,000 people died of malaria and most of them were young children in sub-Saharan Africa. In a bid to combat malaria epidemics, several…”
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Cervical cancer classification from Pap-smears using an enhanced fuzzy C-means algorithm by William, Wasswa, Ware, Andrew, Basaza-Ejiri, Annabella Habinka, Obungoloch, Johnes

“…Globally, cervical cancer ranks as the fourth most prevalent cancer affecting women. However, it can be successfully treated if detected at an early stage. The…”
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Scaling up delivery of HIV services in Africa through harnessing trends across global emerging innovations by Chibi, Moredreck, Wasswa, William, Ngongoni, Chipo Nancy, Lule, Frank

“…Globally, innovations for HIV response present exciting opportunities to enhance the impact and cost-effectiveness of any HIV program. However, countries…”
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Moving towards vertically integrated artificial intelligence development by Zhang, Joe, Budhdeo, Sanjay, William, Wasswa, Cerrato, Paul, Shuaib, Haris, Sood, Harpreet, Ashrafian, Hutan, Halamka, John, Teo, James T.

“…Substantial interest and investment in clinical artificial intelligence (AI) research has not resulted in widespread translation to deployed AI solutions…”
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Let all know: insights from a digital storytelling facilitator training in Uganda by Yan, Tingting, Lang, Michael, Kyomuhangi, Teddy, Naggayi, Barbara, Kabakyenga, Jerome, William, Wasswa, Ashaba, Scholastic, Neema, Clementia Murembe, Tumuhimbise, Manasseh, Mutatina, Robens, Natumanya, Deborah, Brenner, Jennifer L.

“…Digital storytelling (DST) is a participatory, arts-based methodology that facilitates the creation of short films called digital stories. Both the DST process…”
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Automated innovation and impact by Wasswa, William

“…Online platforms promote community change, from challenge to commercialization…”
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Unveiling the vision: exploring the potential of image analysis in Africa by Rahmoon, Mai Atef, Simegn, Gizeaddis Lamesgin, William, Wasswa, Reiche, Michael A.

“…Here we discuss the prospects of bioimage analysis in the context of the African research landscape as well as challenges faced in the development of bioimage…”
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Towards a Healthcare Innovation Scaling Framework-The Voice of the Innovator by Ngongoni, Chipo Nancy, Wasswa, William, Makubalo, Lindiwe, Moeti, Matshidiso, Chibi, Moredreck

“…This paper investigates the systemic challenges that African healthcare innovators experience in the quest to scale their innovations. The aim is to aggregate…”
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Critical Bias in Critical Care Devices by Charpignon, Marie-Laure, Byers, Joseph, Cabral, Stephanie, Celi, Leo Anthony, Fernandes, Chrystinne, Gallifant, Jack, Lough, Mary E., Mlombwa, Donald, Moukheiber, Lama, Ong, Bradley Ashley, Panitchote, Anupol, William, Wasswa, Wong, An-Kwok Ian, Nazer, Lama

“…Critical care data contain information about the most physiologically fragile patients in the hospital, who require a significant level of monitoring. However,…”
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Ethical and regulatory challenges of large language models in medicine by Ong, Jasmine Chiat Ling, Chang, Shelley Yin-Hsi, William, Wasswa, Butte, Atul J, Shah, Nigam H, Chew, Lita Sui Tjien, Liu, Nan, Doshi-Velez, Finale, Lu, Wei, Savulescu, Julian, Ting, Daniel Shu Wei

“…With the rapid growth of interest in and use of large language models (LLMs) across various industries, we are facing some crucial and profound ethical…”
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Low-cost and convenient screening of disease using analysis of physical measurements and recordings by Chandra, Jay, Lin, Raymond, Kancherla, Devin, Scott, Sophia, Sul, Daniel, Andrade, Daniela, Marzouk, Sammer, Iyer, Jay M, Wasswa, William, Villanueva, Cleva, Celi, Leo Anthony

“…In recent years, there has been substantial work in low-cost medical diagnostics based on the physical manifestations of disease. This is due to advancements…”
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Automated Segmentation of Nucleus, Cytoplasm and Background of Cervical Cells from Pap-smear Images using a Trainable Pixel Level Classifier by Wasswa, William, Obungoloch, Johnes, Basaza-Ejiri, Annabella Habinka, Ware, Andrew

“…Cervical cancer ranks as the fourth most prevalent cancer affecting women worldwide and its early detection provides the opportunity to help save life…”
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Automated Diagnosis and Classification of Cervical Cancer from pap-smear Images by WILLIAM, Wasswa, WARE, Andrew, BASAZA-EJIRI, Annabella Habinka, OBUNGOLOCH, Johnes

“…Globally, cervical cancer ranks as the fourth most prevalent cancer affecting women. However, cervical cancer can be treated if detected at an early stage…”
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A Review of Applications of Image Analysis and Machine Learning Techniques in Automated Diagnosis and Classification of Cervical Cancer from Pap-smear Images by William, Wasswa, Basaza-Ejiri, Annabella Habinka, Obungoloch, Johnes, Ware, Andrew

“…Cervical cancer ranks as the fourth most prevalent form of cancer affecting women worldwide and its early detection provides the opportunity to help save life…”
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AI and the Future of Work in Africa White Paper by O'Neill, Jacki, Marivate, Vukosi, Glover, Barbara, Karanu, Winnie, Tadesse, Girmaw Abebe, Gyekye, Akua, Makena, Anne, Rosslyn-Smith, Wesley, Grollnek, Matthew, Wayua, Charity, Baguma, Rehema, Maduke, Angel, Spencer, Sarah, Kandie, Daniel, Maari, Dennis Ndege, Mutangana, Natasha, Axmed, Maxamed, Kamau, Nyambura, Adamu, Muhammad, Swaniker, Frank, Gatuguti, Brian, Donner, Jonathan, Graham, Mark, Mumo, Janet, Mbindyo, Caroline, N'Guessan, Charlette, Githinji, Irene, Makhafola, Lesego, Kruger, Sean, Etyang, Olivia, Onando, Mulang, Sevilla, Joe, Sambuli, Nanjira, Mbaya, Martin, Breloff, Paul, Anapey, Gideon M, Mogaleemang, Tebogo L, Nghonyama, Tiyani, Wanyoike, Muthoni, Mbuli, Bhekani, Nderu, Lawrence, Nyabero, Wambui, Alam, Uzma, Olaleye, Kayode, Njenga, Caroline, Sellen, Abigail, Kairo, David, Chabikwa, Rutendo, Abdulhamid, Najeeb G, Kubasu, Ketry, Okolo, Chinasa T, Akpo, Eugenia, Budu, Joel, Karambal, Issa, Berkoh, Joseph, Wasswa, William, Njagwi, Muchai, Burnet, Rob, Ochanda, Loise, de Bod, Hanlie, Ankrah, Elizabeth, Kinyunyu, Selemani, Kariuki, Mutembei, Kiyimba, Kizito, Eleshin, Farida, Madeje, Lillian Secelela, Muraga, Catherine, Nganga, Ida, Gichoya, Judy, Maina, Tabbz, Maina, Samuel, Mercy, Muchai, Ochieng, Millicent, Nyairo, Stephanie

“…This white paper is the output of a multidisciplinary workshop in Nairobi (Nov 2023). Led by a cross-organisational team including Microsoft Research, NEPAD,…”
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