Transfer learning techniques for medical image analysis: A review

P Kora, CP Ooi, O Faust, U Raghavendra… - Biocybernetics and …, 2022 - Elsevier
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 …

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 ultrasound tumour classification: A Machine Learning—Radiomics based approach

AK Mishra, P Roy, S Bandyopadhyay, SK Das - Expert Systems, 2021 - Wiley Online Library
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 …

Combining genetic algorithms and SVM for breast cancer diagnosis using infrared thermography

R Resmini, L Silva, AS Araujo, P Medeiros… - Sensors, 2021 - mdpi.com
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 …

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 …

Computer-aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive review

U Raghavendra, A Gudigar, TN Rao, EJ Ciaccio… - Infrared Physics & …, 2019 - Elsevier
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 …

Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images

U Raghavendra, SV Bhandary, A Gudigar… - Biocybernetics and …, 2018 - Elsevier
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 …

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 …

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 …

Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images

U Raghavendra, TH Pham, A Gudigar, V Vidhya… - Complex & Intelligent …, 2021 - Springer
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 …