Determining the thermal characteristics of breast cancer based on high-resolution infrared imaging, 3D breast scans, and magnetic resonance imaging
A Lozano III, JC Hayes, LM Compton, J Azarnoosh… - Scientific reports, 2020 - nature.com
For over the three decades, various researchers have aimed to construct a thermal (or
bioheat) model of breast cancer, but these models have mostly lacked clinical data. The …
bioheat) model of breast cancer, but these models have mostly lacked clinical data. The …
Deep convolutional neural networks for classifying breast cancer using infrared thermography
JC Torres-Galvan, E Guevara… - Quantitative InfraRed …, 2022 - Taylor & Francis
Infrared thermography is a technique that can detect anomalies in temperature patterns
which can indicate some breast pathologies including breast cancer. One limitation of the …
which can indicate some breast pathologies including breast cancer. One limitation of the …
Segmentation of breast thermal images using Kapur's entropy and hidden Markov random field
N Raja, V Rajinikanth, SL Fernandes… - Journal of Medical …, 2017 - ingentaconnect.com
Breast cancer is one of the common cancers in women community and the early diagnosis
of breast cancer will improve the survival rate. Thermography is one of the non-invasive and …
of breast cancer will improve the survival rate. Thermography is one of the non-invasive and …
[HTML][HTML] An automated method for the evaluation of breast cancer using infrared thermography
A Morales-Cervantes, ES Kolosovas-Machuca… - EXCLI …, 2018 - ncbi.nlm.nih.gov
Breast cancer is one of the major causes of death for women. Temperature measurement is
advantageous because it is non-invasive, non-destructive, and cost-effective. Temperature …
advantageous because it is non-invasive, non-destructive, and cost-effective. Temperature …
Designing of ground-truth-annotated DBT-TU-JU breast thermogram database toward early abnormality prediction
The advancement of research in a specific area of clinical diagnosis crucially depends on
the availability and quality of the radiology and other test related databases accompanied by …
the availability and quality of the radiology and other test related databases accompanied by …
[HTML][HTML] Parameter estimation of breast tumour using dynamic neural network from thermal pattern
E Saniei, S Setayeshi, ME Akbari, M Navid - Journal of Advanced Research, 2016 - Elsevier
This article presents a new approach for estimating the depth, size, and metabolic heat
generation rate of a tumour. For this purpose, the surface temperature distribution of a breast …
generation rate of a tumour. For this purpose, the surface temperature distribution of a breast …
Thermal distribution analysis of three-dimensional tumor-embedded breast models with different breast density compositions
Breast cancer is the most common cancer among women globally, and the number of young
women diagnosed with this disease is gradually increasing over the years. Mammography is …
women diagnosed with this disease is gradually increasing over the years. Mammography is …
Bio-inspired swarm techniques for thermogram breast cancer detection
Bio-inspired swarm techniques are a well-established paradigm with current systems having
many of the characteristics of biological computers and capable of performing a variety of …
many of the characteristics of biological computers and capable of performing a variety of …
Numerical study of the effect of non-uniformly perfused tumor on heat transfer in women's breast during menstrual cycle under cold environment
A Makrariya, KR Pardasani - … Modeling Analysis in Health Informatics and …, 2019 - Springer
In this paper, a model is proposed for heat transfer in women's breast with and without non-
uniformly perfused tumour during menstrual cycle under cold environment. The important …
uniformly perfused tumour during menstrual cycle under cold environment. The important …
A review of mothflame optimization algorithm: analysis and applications
L Abualigah, L Al-Abadi, AM Ikotun, ALS Faisal… - Metaheuristic …, 2024 - Elsevier
The moth flame optimization (MFO) algorithm, which is inspired by nature, is studied in this
study. This optimizer takes its main inspiration from the directional navigation approach used …
study. This optimizer takes its main inspiration from the directional navigation approach used …