EVALUATING THE FEASIBILITY OF THERMOGRAPHIC IMAGES FOR PREDICTING BREAST TUMOR STAGE USING DCNN

EVALUATING THE FEASIBILITY OF THERMOGRAPHIC IMAGES FOR PREDICTING BREAST TUMOR STAGE USING DCNN

Early-stage and advanced breast cancer represent distinct disease processes. Thus, identifying the stage of tumor is a crucial procedure for optimizing treatment efficiency. Breast thermography has demonstrated significant advancements in non-invasive tumor detection. However, the accurate determin...

Full description

Bibliographic Details
Main Authors: Zakaryae Khomsi, Mohamed El Fezazi, Achraf Elouerghi, Larbi Bellarbi
Format: Article
Language:English
Published: Lublin University of Technology 2024-03-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
image analysis
classification
tumor prediction
transfer learning
thermography
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/5555

Internet

https://ph.pollub.pl/index.php/iapgos/article/view/5555

Similar Items