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Machine learning-assisted image-based optical devices for health monitoring and food safety
The advent of artificial intelligence has highly impacted the process of image processing and
pattern recognition, hence influencing biomedical researchers to implement machine …
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
Develo** a breast cancer screening method is very important to facilitate early breast
cancer detection and treatment. Building a screening method using medical imaging …
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
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 …
Breast thermography supported by deep convolutional neural networks is expected to …
A systematic review of breast cancer detection using thermography and neural networks
Breast cancer plays a significant role in affecting female mortality. Researchers are actively
seeking to develop early detection methods of breast cancer. Several technologies …
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 …
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
Breast cancer remains a leading cause of cancer mortality worldwide, with early detection
crucial for improving outcomes. This systematic review evaluates recent advances in …
crucial for improving outcomes. This systematic review evaluates recent advances in …
Self-detection of early breast cancer application with infrared camera and deep learning
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 …
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
Whereas most research in AI system explanation for healthcare applications looks at
develo** algorithmic explanations targeted at AI experts or medical professionals, the …
develo** algorithmic explanations targeted at AI experts or medical professionals, the …
Towards digital twins driven breast cancer detection
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 …
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
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 …
application of computer science, particularly artificial intelligence. Computer vision is one of …