Zobrazeno 1 - 10
of 1 293
pro vyhledávání: '"Githinji"'
Autor:
Githinji Cyrus
Publikováno v:
The Journal of Haemophilia Practice, Vol 11, Iss 1, Pp 72-74 (2024)
Cyrus, a haemophilia nurse in Kenya, reflects on his experience of treating a patient with a rare complication of haemophilia in a setting with limited access to treatment. The patient developed a debilitating abdominal pseudotumor following an inade
Externí odkaz:
https://doaj.org/article/61e9c4bf598d4a6da607b59a0e7fa631
Autor:
Catherine Kyobutungi, Githinji Gitahi, Marie-Claire Wangari, Patterson Siema, Evelyn Gitau, Florence Sipalla, Madhukar Pai, Samuel Oji Oti
Publikováno v:
PLOS Global Public Health, Vol 3, Iss 2, p e0001663 (2023)
Externí odkaz:
https://doaj.org/article/64e2a6c3167e4aafafaf1d0b0e4f0f4b
Publikováno v:
BMJ Global Health, Vol 7, Iss Suppl 2 (2022)
Externí odkaz:
https://doaj.org/article/c16a78a0e4e7414ca9e0c5790ee0cfdb
Autor:
Eric A. Friedman, Lawrence O. Gostin, Allan Maleche, Alessandra Nilo, Fogue Foguito, Umunyana Rugege, Sasha Stevenson, Githinji Gitahi, Ana Lorena Ruano, Michele Barry, Sara Hossain, Franciscka Lucien, Itai Rusike, Martin Hevia, Ala Alwan, Edwin Cameron, Paul Farmer, Walter Flores, Adila Hassim, Rosemary Mburu, Joia Mukherjee, Moses Mulumba, Dainius Pūras, Mirta Roses Periago
Publikováno v:
Health and Human Rights, Vol 22, Iss 1, Pp 199-207 (2020)
We propose that a Right to Health Capacity Fund (R2HCF) be created as a central institution of a reimagined global health architecture developed in the aftermath of the COVID-19 pandemic. Such a fund would help ensure the strong health systems requir
Externí odkaz:
https://doaj.org/article/2e087a7cf04349ac89599c3dba68e153
Salient object detection (SOD) aims at finding the most salient objects in images and outputs pixel-level binary masks. Transformer-based methods achieve promising performance due to their global semantic understanding, crucial for identifying salien
Externí odkaz:
http://arxiv.org/abs/2404.15008
Autor:
Peng, Boyuan, Chen, Jiaju, Githinji, P. Bilha, Gul, Ijaz, Ye, Qihui, Chen, Minjiang, Qin, Peiwu, Huang, Xingru, Yan, Chenggang, Yu, Dongmei, Ji, Jiansong, Chen, Zhenglin
Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have revolutionized cell segmentation by extracting intricate features fro
Externí odkaz:
http://arxiv.org/abs/2404.08549
Autor:
Githinji, P. Bilha, Yuan, Xi, Chen, Zhenglin, Gul, Ijaz, Shang, Dingqi, Liang, Wen, Deng, Jianming, Zeng, Dan, yu, Dongmei, Yan, Chenggang, Qin, Peiwu
Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models. Moreover, these models exhibit a bias for contrast-based images, with diminished perf
Externí odkaz:
http://arxiv.org/abs/2403.02307
Ocular conditions are a global concern and computational tools utilizing retinal fundus color photographs can aid in routine screening and management. Obtaining comprehensive and sufficiently sized datasets, however, is non-trivial for the intricate
Externí odkaz:
http://arxiv.org/abs/2402.11488
Autor:
Githinji, Peter, Njoroge, Martin
This paper examines the perceptions of Kenyans towards the way other Kenyans speak Swahili from a Folklinguistic perspective. The study involved two main tasks. In the first task, informants were provided with blank maps of the country and asked to i
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A32901
https://ul.qucosa.de/api/qucosa%3A32901/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A32901/attachment/ATT-0/