Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope
Conclusion: The results suggest that utilizing simple color- and textural-based features from visual inspection with acetic acid and visual inspection with Lugol's iodine images may provide unbiased automation of cervigrams. Significance: This would enable automated, expert-level diagnosis of cervical pre-cancer at the point of care.
Source: IEEE Transactions on Biomedical Engineering - Category: Biomedical Engineering Source Type: research
More News: Acetic Acid | Biomedical Engineering | Cancer | Cancer & Oncology | Cervical Cancer | Colposcopy | Iodine | Pathology