Research graph
References from Lessons learned from the validation of a machine learning-based colorectal carcinoma screening pipeline in sub-Saharan Africa. Local targets link to admitted publications; unresolved targets remain external evidence.
Pathology and cancer in Africa
2019 · External reference
Cancer in sub-Saharan Africa: a Lancet Oncology Commission
10.1016/s1470-2045(21)00720-8 · 2022 · External reference
Trends in the US and Canadian pathologist workforces from 2007 to 2017
10.1001/jamanetworkopen.2019.4337 · 2019 · External reference
Training the next generation of African pathologists
10.1016/j.cll.2017.10.004 · 2018 · External reference
Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries
10.1186/s12992-020-00584-1 · 2020 · External reference
Artificial intelligence for strengthening healthcare systems in low- and middle-income countries: a systematic scoping review
10.1038/s41746-022-00700-y · 2022 · External reference
Challenges and solutions for transforming health ecosystems in low- and middle-income countries through artificial intelligence
2022 · External reference
Opportunities and challenges in creating adaptable artificial intelligence (AI) models in low and middle-income countries (LMICs): the Indian scenario
10.4103/ijar.ijar_242_24 · 2024 · External reference
Unresolved reference
2021 · External reference
Digital pathology and artificial intelligence
10.1016/s1470-2045(19)30154-8 · 2019 · External reference
Recommendations for performance evaluation of machine learning in pathology: a concept paper from the College of American Pathologists
10.5858/arpa.2023-0042-cp · 2024 · External reference
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
2021 · External reference
Optimization of complex cancer morphology detection using the SIVQ pattern recognition algorithm
10.1155/2012/535819 · 2012 · External reference
Automated vector selection of SIVQ and parallel computing integration MATLAB: innovations supporting large-scale and high-throughput image analysis studies
10.4103/2153-3539.83752 · 2011 · External reference
Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification
10.1155/2012/294358 · 2012 · External reference
Spatially invariant vector quantization: a pattern matching algorithm for multiple classes of image subject matter including pathology
10.4103/2153-3539.77175 · 2011 · External reference
Performance of an artificial intelligence-based tool for cervical precancer screening in five countries in Africa: a prospective, observational, diagnostic accuracy study
10.1016/s2214-109x(25)00352-3 · 2026 · External reference
AI-assisted diagnosis of nonmelanoma skin cancer in resource-limited settings
10.1158/1055-9965.epi-25-0132 · 2025 · External reference
Artificial intelligence for histopathological diagnosis and grading of breast cancer in Ethiopia
10.1016/j.prp.2026.156493 · 2026 · External reference
Impact of stain variation and color normalization for prognostic predictions in pathology
10.1038/s41598-024-83267-w · 2025 · External reference
Generalization of deep learning in digital pathology: experience in breast cancer metastasis detection
10.3390/cancers14215424 · 2022 · External reference
Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: a scoping review
10.3389/fonc.2022.976168 · 2022 · External reference
Artificial intelligence in surgical care within low-income and middle-income countries: a scoping review of development, validation, and deployment
10.1016/j.eclinm.2026.103836 · 2026 · External reference
