Multi-Input Deep Learning Approach for Breast Cancer Screening Using Thermal Infrared Imaging and Clinical Data

Multi-Input Deep Learning Approach for Breast Cancer Screening Using Thermal Infrared Imaging and Clinical Data

Breast cancer is one of the most prevalent causes of death among women across the globe. Early detection is the best strategy for reducing the mortality rate. Currently, mammography is the standard screening modality, which has its shortcomings. To complement this modality, thermal infrared-based Co...

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Bibliographic Details
Main Authors: Dennies Tsietso, Abid Yahya, Ravi Samikannu, Muhammad Usman Tariq, Muhammad Babar, Basit Qureshi, Anis Koubaa
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Breast cancer
CADx
deep learning
segmentation
thermography
transfer learning
Online Access:https://ieeexplore.ieee.org/document/10136689/

Internet

https://ieeexplore.ieee.org/document/10136689/

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