Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
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 ultrasound tumour classification: A Machine Learning—Radiomics based approach
Prediction of breast tumour malignancy using ultrasound imaging, is an important step for
early detection of breast cancer. An efficient prediction system can be a great help to …
early detection of breast cancer. An efficient prediction system can be a great help to …
Combining genetic algorithms and SVM for breast cancer diagnosis using infrared thermography
Breast cancer is one of the leading causes of mortality globally, but early diagnosis and
treatment can increase the cancer survival rate. In this context, thermography is a suitable …
treatment can increase the cancer survival rate. In this context, thermography is a suitable …
Diagnostic strategies for breast cancer detection: from image generation to classification strategies using artificial intelligence algorithms
JA Basurto-Hurtado, IA Cruz-Albarran… - Cancers, 2022 - mdpi.com
Simple Summary With the recent advances in the field of artificial intelligence, it has been
possible to develop robust and accurate methodologies that can deliver noticeable results in …
possible to develop robust and accurate methodologies that can deliver noticeable results in …
Computer-aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive review
Breast cancer is a cancer that can form in the cells of breasts. It is much more common in
females than in males. The typical periods of cancer development are during puberty …
females than in males. The typical periods of cancer development are during puberty …
Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images
Glaucoma is the prime cause of blindness and early detection of it may prevent patients from
vision loss. An expert system plays a vital role in glaucoma screening, which assist the …
vision loss. An expert system plays a vital role in glaucoma screening, which assist the …
Meta-analysis and systematic review of the application of machine learning classifiers in biomedical applications of infrared thermography
C Magalhaes, J Mendes, R Vardasca - Applied Sciences, 2021 - mdpi.com
Atypical body temperature values can be an indication of abnormal physiological processes
associated with several health conditions. Infrared thermal (IRT) imaging is an innocuous …
associated with several health conditions. Infrared thermal (IRT) imaging is an innocuous …
Automatic region of interest segmentation for breast thermogram image classification
D Sánchez-Ruiz, I Olmos-Pineda… - Pattern Recognition …, 2020 - Elsevier
Breast thermography images are a new type of data that has been analyzed in recent years
in order to detect abnormalities, which can lead to a future breast cancer. This paper …
in order to detect abnormalities, which can lead to a future breast cancer. This paper …
Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images
Brain stroke is an emergency medical condition which occurs mainly due to insufficient
blood flow to the brain. It results in permanent cellular-level damage. There are two main …
blood flow to the brain. It results in permanent cellular-level damage. There are two main …