Deep convolutional neural networks for classifying breast cancer using infrared thermography
- Resource Type
- Authors
- Jorge L. Flores; Edgar Guevara; Antonio Oceguera-Villanueva; Eleazar Samuel Kolosovas-Machuca; Francisco Javier González; Juan Carlos Torres-Galván
- Source
- Quantitative InfraRed Thermography Journal. 19:283-294
- Subject
- 0303 health sciences
medicine.diagnostic_test
business.industry
Computer science
fungi
food and beverages
030311 toxicology
Pattern recognition
medicine.disease
Convolutional neural network
030218 nuclear medicine & medical imaging
03 medical and health sciences
Breast cancer screening
0302 clinical medicine
Breast cancer
Thermography
medicine
Artificial intelligence
Electrical and Electronic Engineering
skin and connective tissue diseases
business
Instrumentation
- Language
- ISSN
- 2116-7176
1768-6733
Infrared thermography is a technique that can detect anomalies in temperature patterns which can indicate some breast pathologies including breast cancer. One limitation of the method is the absenc...