Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques
BackgroundApproximately 90% of global cervical cancer (CC) is mostly found in low- and middle-income countries. In most cases, CC can be detected early through routine screening programs, including a cytology-based test. However, it is logistically difficult to offer this program in low-resource set...
Saved in:
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2020-03-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
Connect to this object online.3rd Floor Main Library
Call Number: |
A1234.567 |
---|---|
Copy 1 | Available |