Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope

Goal: In this paper, we propose methods for (1) automatic feature extraction and classification for acetic acid and Lugol's iodine cervigrams and (2) methods for combining features/diagnosis of different contrasts in cervigrams for improved performance. Methods: We developed algorithms to pre-p...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 66; H. 8; S. 2306 - 2318
Hauptverfasser:	Asiedu, Mercy Nyamewaa, Simhal, Anish, Chaudhary, Usamah, Mueller, Jenna L., Lam, Christopher T., Schmitt, John W., Venegas, Gino, Sapiro, Guillermo, Ramanujam, Nimmi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acetic acid Algorithms Automation Benign Cervix Cervix Uteri - diagnostic imaging Color Colposcopes colposcopy Computer-aided detection and diagnosis Diagnosis Early Detection of Cancer - instrumentation Early Detection of Cancer - methods Feature extraction Female global health Handheld computers Humans image acquisition Image Interpretation, Computer-Assisted - instrumentation Image Interpretation, Computer-Assisted - methods Inspection Iodine Lugol's iodine Machine Learning Pathology Phase shift keying Physicians Point-of-Care Systems Precancerous Conditions - diagnostic imaging predictive models segmentation Sensitivity Support vector machines Uterine Cervical Neoplasms - diagnostic imaging
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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