[HTML][HTML] Artificial intelligence-based prediction for cancer-related outcomes in Africa: status and potential refinements
2021 Deep learning Detection of HSIL and LSIL in cervical cancer Phase I-III Internal
0.97[18] 2018 Machine learning Breast cancer staging Phase I, II, IV NIL 0.84[19] 2021 …
0.97[18] 2018 Machine learning Breast cancer staging Phase I, II, IV NIL 0.84[19] 2021 …
[HTML][HTML] Artificial intelligence and cancer care in Africa
A Akingbola, A Adegbesan, O Ojo, JU Otumara… - Journal of Medicine …, 2024 - Elsevier
AI's potential to revolutionize oncology through enhanced diagnostics, treatment planning,
and patient monitoring is well-documented globally. However, in Africa, its adoption has …
and patient monitoring is well-documented globally. However, in Africa, its adoption has …
[HTML][HTML] Comparison of classification success rates of different machine learning algorithms in the diagnosis of breast cancer
I Ozcan, H Aydin, A Cetinkaya - Asian Pacific journal of cancer …, 2022 - ncbi.nlm.nih.gov
Objective: To identify which Machine Learning (ML) algorithms are the most successful in
predicting and diagnosing breast cancer according to accuracy rates. Methods: The …
predicting and diagnosing breast cancer according to accuracy rates. Methods: The …
Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review
Background The impact and utility of machine learning (ML)-based prediction tools for
cancer outcomes including assistive diagnosis, risk stratification, and adjunctive decision …
cancer outcomes including assistive diagnosis, risk stratification, and adjunctive decision …
Early detection of breast cancer using diffuse optical probe and ensemble learning method
M Momtahen, S Momtahen… - 2023 IEEE MTT-S …, 2023 - ieeexplore.ieee.org
In this paper, we propose using the diffuse optical breast scanning (DOB-Scan) probe, which
employs an ensemble learning method to enable earlier detection of breast cancer. For this …
employs an ensemble learning method to enable earlier detection of breast cancer. For this …
Somatic Mutations Alter Interleukin Signaling Pathways in Grade II Invasive Breast Cancer Patients: An Egyptian Experience
This study aimed to investigate the impact of somatic mutations on various interleukin
signaling pathways associated with grade II invasive breast cancer (BC) in Egyptian patients …
signaling pathways associated with grade II invasive breast cancer (BC) in Egyptian patients …