On the use of spectroscopy, prediction machines and cybernetics for an affordable and proactive care approach for endometrial cancer
Endometrial cancer is a prominent cancer which affects a considerable number of women globally. The cancer has proven to be challenging to diagnose in its early manifestations as it tends to produce symptoms which are not distinct and can be confused with other diseases. Transvaginal imaging methods...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-12-01
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| Series: | Biomedical Engineering Advances |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667099222000330 |