Cervical cancer is the fourth most common form of cancer in women and the fourth most commoncause of death from cancer in women. Developing countries account for 70% of the cases and 90% of the fatalities.Nowadays Computational methods can be used to classify the cervix type, which wouldbe minimally invasive and does not require lab testing. As Artificial intelligent algorithms are at its peakdevelopment, Our method uses deep learning and object detection techniques for processing and classifying the cervigram types.
-
Notifications
You must be signed in to change notification settings - Fork 1
Cervical cancer is the fourth most common form of cancer in women and the fourth most commoncause of death from cancer in women. Developing countries account for 70% of the cases and 90% of the fatalities.Nowadays Computational methods can be used to classify the cervix type, which wouldbe minimally invasive and does not require lab testing. As …
mano3-1/EfficientCenterDet-for-cervix-type-detection
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Cervical cancer is the fourth most common form of cancer in women and the fourth most commoncause of death from cancer in women. Developing countries account for 70% of the cases and 90% of the fatalities.Nowadays Computational methods can be used to classify the cervix type, which wouldbe minimally invasive and does not require lab testing. As …
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published