Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods

R Ranjbarzadeh, S Dorosti, SJ Ghoushchi… - Computers in Biology …, 2023 - Elsevier
Abstract The Global Cancer Statistics 2020 reported breast cancer (BC) as the most
common diagnosis of cancer type. Therefore, early detection of such type of cancer would …

Automated approaches for ROIs extraction in medical thermography: a review and future directions

J Singh, AS Arora - Multimedia Tools and Applications, 2020 - Springer
Historically, the skin temperature has been used as a functional indicator of the processes
undergoing inside the body, where the anomalous change in temperature gives indication of …

Automated segmentation and classification of hand thermal images in rheumatoid arthritis using machine learning algorithms: A comparison with quantum machine …

RK Ahalya, U Snekhalatha, V Dhanraj - Journal of Thermal Biology, 2023 - Elsevier
The aims and objectives of the study were to i) perform image segmentation using a color-
based k-means clustering algorithm and feature extraction using binary robust invariant …

Ensemble Learning‐Based Hybrid Segmentation of Mammographic Images for Breast Cancer Risk Prediction Using Fuzzy C‐Means and CNN Model

S Jha, S Ahmad, A Arya, B Alouffi… - Journal of …, 2023 - Wiley Online Library
The research interest in this field is that females are not aware of their health conditions until
they develop tumour, especially when breast cancer is concerned. The breast cancer risk …

Quantitative nondestructive testing of wire rope based on pseudo-color image enhancement technology

P Zheng, J Zhang - Nondestructive Testing and Evaluation, 2019 - Taylor & Francis
Detection of magnetic flux leakage (MFL) is widely used in nondestructive testing (NDT) of
wire rope. We built and tested an MFL measuring device based on unsaturated magnetic …

[HTML][HTML] Texture analysis of magnetic resonance T1 mapping with dilated cardiomyopathy: A machine learning approach

XN Shao, YJ Sun, KT Xiao, Y Zhang, WB Zhang… - Medicine, 2018 - journals.lww.com
Texture analysis of magnetic resonance T1 mapping with dilat... : Medicine Texture analysis of
magnetic resonance T1 mapping with dilated cardiomyopathy: A machine learning approach …

Transient thermography for flaw detection in friction stir welding: a machine learning approach

M Atwya, G Panoutsos - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
A systematic computational method to simulate and detect subsurface flaws, through
nondestructive transient thermography, in aluminum (AL) sheets and friction stir (FS) welded …

Segmentation of thermal infrared breast images using K-means, FCM and EM algorithms for breast cancer detection

RM Prakash, K Bhuvaneshwari, M Divya… - … on innovations in …, 2017 - ieeexplore.ieee.org
Breast cancer is the most commonly occurring cancer among women leading to deaths.
Detection of tumors at early stages improves the survival rate. Infrared thermograph images …

Harnessing the power of machine learning for breast anomaly prediction using thermograms

A Hakim, RN Awale - International Journal of Medical …, 2023 - inderscienceonline.com
Breast cancer is the most fatal cancer among women globally. Thermography provides an
early sign of a developing abnormality based on the temperature changes in breasts. In this …

[PDF][PDF] Lesion detection in breast thermography using machine learning algorithms without previous segmentation

JMS Pereira, MA Santana, RCF Lima… - … a cancer diagnosis, 2020 - researchgate.net
Breast cancer in women has had a high incidence and mortality rate in the world. To reduce
female mortality due to this type of cancer, early detection of breast lesions is necessary …