Infrared machine vision and infrared thermography with deep learning: A review
Infrared imaging-based machine vision (IRMV) is the technology used to automatically
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …
inspect, detect, and analyse infrared images (or videos) obtained by recording the intensity …
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 …
seeking to develop early detection methods of breast cancer. Several technologies …
An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm
EH Houssein, MM Emam, AA Ali - Expert Systems with Applications, 2021 - Elsevier
Thermography images are a helpful screening tool that can detect breast cancer by showing
the body parts that indicate an abnormal change in temperature. Various segmentation …
the body parts that indicate an abnormal change in temperature. Various segmentation …
[HTML][HTML] 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 …
[HTML][HTML] A survey of convolutional neural network in breast cancer
Aims A large number of clinical trials have proved that if breast cancer is diagnosed at an
early stage, it could give patients more treatment options and improve the treatment effect …
early stage, it could give patients more treatment options and improve the treatment effect …
Personalized risk prediction for breast cancer pre-screening using artificial intelligence and thermal radiomics
Motivation Breast cancer is the leading cause of cancer deaths among women today.
Survival rates in developing countries are around 50%–60% due to late detection. A …
Survival rates in developing countries are around 50%–60% due to late detection. A …
Transfer learning for breast cancer classification in terahertz and infrared imaging
M Gezimati, G Singh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Proactive treatment of cancer, characterized by early detection and intervention is one of the
main focus of the next-generation healthcare systems for predictive, timely detection and …
main focus of the next-generation healthcare systems for predictive, timely detection and …
IR-GAN: improved generative adversarial networks for infrared breast image segmentation
K Raghavan, S Balasubramanian… - Quantitative Infrared …, 2023 - Taylor & Francis
With medical imaging and artificial intelligence advancements, breast cancer can now be
detected at its earliest stages. Infrared imaging is a promising tool in the fight against breast …
detected at its earliest stages. Infrared imaging is a promising tool in the fight against breast …
Breast MRI Segmentation and Ki‐67 High‐and Low‐Expression Prediction Algorithm Based on Deep Learning
YZ Li, YH Huang, X Su, Z Gu, QQ Lai… - … Methods in Medicine, 2022 - Wiley Online Library
Background and Objective. Breast cancer is a common malignant tumor that seriously
threatens the health of women in my country and even around the world. The proliferation …
threatens the health of women in my country and even around the world. The proliferation …
[PDF][PDF] Automated tumor segmentation in thermographic breast images
Identifying and delineating suspicious regions in thermal breast images poses significant
challenges for radiologists during the examination and interpretation of thermogram images …
challenges for radiologists during the examination and interpretation of thermogram images …