Development and validation of an infrared-artificial intelligence software for breast cancer detection.

ABSTRACT:

Aim

In countries where access to mammography equipment and skilled personnel is limited, most breast cancer (BC) cases are detected in locally advanced stages. Infrared breast thermography is recognized as an adjunctive technique for the detection of BC due to its advantages such as safety (by not emitting ionizing radiation nor applying any stress to the breast), portability, and low cost. Improved by advanced computational analytics techniques, infrared thermography could be a valuable complementary screening technique to detect BC at early stages. In this work, an infrared-artificial intelligence (AI) software was developed and evaluated to help physicians to identify potential BC cases.

Methods

Several AI algorithms were developed and evaluated, which were learned from a

SUBMITTER: Martin-Del-Campo-Mena E 

PROVIDER: S-EPMC10189354 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature