Thermal imaging-an emerging modality for breast cancer detection: a comprehensive review

A Hakim, RN Awale - Journal of Medical systems, 2020 - Springer
Breast cancer is not preventable. To reduce the death rate and improve the survival chances
of breast cancer patients, early and accurate detection is the only panacea. Delay in …

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 …

[HTML][HTML] Detection of breast cancer using histopathological image classification dataset with deep learning techniques

VK Reshma, N Arya, SS Ahmad, I Wattar… - BioMed Research …, 2022 - ncbi.nlm.nih.gov
Cancer is one of the top causes of mortality, and it arises when cells in the body grow
abnormally, like in the case of breast cancer. For people all around the world, it has now …

Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease

ON Oyelade, AE Ezugwu - arXiv preprint arXiv:2106.01416, 2021 - arxiv.org
The Ebola virus and the disease in effect tend to randomly move individuals in the
population around susceptible, infected, quarantined, hospitalized, recovered, and dead sub …

Full intelligent cancer classification of thermal breast images to assist physician in clinical diagnostic applications

AE Lashkari, F Pak, M Firouzmand - Journal of Medical Signals & …, 2016 - journals.lww.com
Breast cancer is the most common type of cancer among women. The important key to treat
the breast cancer is early detection of it because according to many pathological studies …

Breast cancer detection using MRF-based probable texture feature and decision-level fusion-based classification using HMM on thermography images

R Rastghalam, H Pourghassem - Pattern Recognition, 2016 - Elsevier
Breast cancer is one of the major causes of death for women in the last decade.
Thermography is a breast imaging technique that can detect cancerous masses much faster …

Medical diagnosis with the aid of using fuzzy logic and intuitionistic fuzzy logic

S Das, D Guha, B Dutta - Applied Intelligence, 2016 - Springer
The objective of the present study is to develop/establish a web-based medical diagnostic
support system (MDSS) by which health care support can be provided for people living in …

A Review of Techniques and Bio-Heat Transfer Models Supporting Infrared Thermal Imaging for Diagnosis of Malignancy

G D'Alessandro, P Tavakolian, S Sfarra - Applied Sciences, 2024 - mdpi.com
The present review aims to analyze the application of infrared thermal imaging, aided by bio-
heat models, as a tool for the diagnosis of skin and breast cancers. The state of the art of the …

Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies

ON Oyelade, AE Ezugwu, SA Adewuyi - Neural Computing and …, 2022 - Springer
The need to address the challenge of vagueness across several domains of applicability of
ontology is gaining research attention. The presence of vagueness in knowledge …

EfficientNets transfer learning strategies for histopathological breast cancer image analysis

SO Folorunso, JB Awotunde, YP Rangaiah… - … Journal of Modeling …, 2024 - World Scientific
Breast cancer (BC) is one of the major principal sources of high mortality among women
worldwide. Consequently, early detection is essential to save lives. BC can be diagnosed …