Machine learning-assisted image-based optical devices for health monitoring and food safety

M Mousavizadegan, F Shalileh… - TrAC Trends in …, 2024 - Elsevier
The advent of artificial intelligence has highly impacted the process of image processing and
pattern recognition, hence influencing biomedical researchers to implement machine …

A review on recent progress in thermal imaging and deep learning approaches for breast cancer detection

R Roslidar, A Rahman, R Muharar, MR Syahputra… - IEEE …, 2020 - ieeexplore.ieee.org
Develo** a breast cancer screening method is very important to facilitate early breast
cancer detection and treatment. Building a screening method using medical imaging …

Thermal-based early breast cancer detection using inception V3, inception V4 and modified inception MV4

MAS Al Husaini, MH Habaebi, TS Gunawan… - Neural Computing and …, 2022 - Springer
Breast cancer is one of the most significant causes of death for women around the world.
Breast thermography supported by deep convolutional neural networks is expected to …

A systematic review of breast cancer detection using thermography and neural networks

MAS Al Husaini, MH Habaebi, SA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Breast cancer plays a significant role in affecting female mortality. Researchers are actively
seeking to develop early detection methods of breast cancer. Several technologies …

Breast cancer classification on thermograms using deep CNN and transformers

E Mahoro, MA Akhloufi - Quantitative InfraRed Thermography …, 2024 - Taylor & Francis
Breast thermography is a screening approach for breast cancer detection by measuring the
breast skin temperature. Breast cancer is the most common cancer among women and can …

[HTML][HTML] Portable noninvasive technologies for early breast cancer detection: A systematic review

SO Aboagye, JA Hunt, G Ball, Y Wei - Computers in Biology and Medicine, 2024 - Elsevier
Breast cancer remains a leading cause of cancer mortality worldwide, with early detection
crucial for improving outcomes. This systematic review evaluates recent advances in …

Self-detection of early breast cancer application with infrared camera and deep learning

MAS Al Husaini, M Hadi Habaebi, TS Gunawan… - Electronics, 2021 - mdpi.com
Breast cancer is the most common cause of death in women around the world. A new tool
has been adopted based on thermal imaging, deep convolutional networks, health …

Meaningful explanation effect on user's trust in an ai medical system: Designing explanations for non-expert users

R Larasati, A De Liddo, E Motta - ACM Transactions on Interactive …, 2023 - dl.acm.org
Whereas most research in AI system explanation for healthcare applications looks at
develo** algorithmic explanations targeted at AI experts or medical professionals, the …

Towards digital twins driven breast cancer detection

S Meraghni, K Benaggoune, Z Al Masry… - … : Proceedings of the …, 2021 - Springer
Digital twins have transformed the industrial world by changing the development phase of a
product or the use of equipment. With the digital twin, the object's evolution data allows us to …

Enhancing breast cancer diagnosis with deep learning and evolutionary algorithms: A comparison of approaches using different thermographic imaging treatments

A Nogales, F Perez-Lara, ÁJ García-Tejedor - Multimedia Tools and …, 2024 - Springer
The medical field has come a long way in recent years. This fact is directly related to the
application of computer science, particularly artificial intelligence. Computer vision is one of …