Breast cancer screening application using thermographic images and machine learning analysis
In the Philippines, breast cancer is one of the most prevalent cancers that affect women. The group developed an Android app that uses thermograms and machine learning analysis to determine whether the breasts are healthy or unhealthy in order to increase awareness and undertake early breast screeni...
Saved in:
Main Authors: | Evidente, Rency Christelle O., Sayoc, Vincent Rafael T., Uy, Jason Patrick T., Young, Leila Yasmin C. |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2022
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etdb_ece/15 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1026&context=etdb_ece |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
Similar Items
-
Implementation of a 1V temperature sensing IC on a 0.18um CMOS process
by: Briones, Juan Gabriel C., et al.
Published: (2013) -
Current developments in breast cancer self examination multimedia system
by: Cabatuan, Melvin K.
Published: (2011) -
Probing the Elasticity of Breast Cancer Cells Using AFM
by: Li, Q.S., et al.
Published: (2014) -
A rough set based data model for breast cancer mammographic mass diagnostics
by: Africa, Aaron Don M., et al.
Published: (2015) -
Factors associated with breast cancer screening practices in health women
by: Napassawan Sunjorn
Published: (2002)