Breast cancer detection using deep learning: Datasets, methods, and challenges ahead

RA Dar, M Rasool, A Assad - Computers in biology and medicine, 2022 - Elsevier
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …

[HTML][HTML] A Review of the State of the Art in Non-Contact Sensing for COVID-19

W Taylor, QH Abbasi, K Dashtipour, S Ansari, SA Shah… - Sensors, 2020 - mdpi.com
COVID-19, caused by SARS-CoV-2, has resulted in a global pandemic recently. With no
approved vaccination or treatment, governments around the world have issued guidance to …

[HTML][HTML] CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images

CB Gonçalves, JR Souza, H Fernandes - Computers in Biology and …, 2022 - Elsevier
The early detection of breast cancer is a vital factor when it comes to improving cure and
recovery rates in patients. Among such early detection factors, one finds thermography, an …

Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging

A Barnawi, P Chhikara, R Tekchandani… - Future Generation …, 2021 - Elsevier
Abstract Internet of Things (IoT) has recently brought an influential research and analysis
platform in a broad diversity of academic and industrial disciplines, particularly in healthcare …

A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images

S Civilibal, KK Cevik, A Bozkurt - Expert Systems with Applications, 2023 - Elsevier
Purpose This study investigates implementation of deep learning (DL) approaches to breast
tumor recognition based on thermal images. We propose to utilize Mask R-CNN technique …

A deep learning approach for electric motor fault diagnosis based on modified InceptionV3

L Xu, SS Teoh, H Ibrahim - Scientific Reports, 2024 - nature.com
Electric motors are essential equipment widely employed in various sectors. However,
factors such as prolonged operation, environmental conditions, and inadequate …

An integrated intelligent system for breast cancer detection at early stages using IR images and machine learning methods with explainability

N Aidossov, V Zarikas, Y Zhao, A Mashekova… - SN Computer …, 2023 - Springer
Breast cancer is the second most common cause of death among women. An early
diagnosis is vital for reducing the fatality rate in the fight against breast cancer …

Enhancing breast cancer detection through thermal imaging and customized 2D CNN classifiers

A Raza, MT Meeran, U Bilhaj - VFAST Transactions on Software …, 2023 - vfast.org
Breast cancer is one of the most prevalent and life-threatening forms of cancer due to its
aggressive nature and high mortality rates. Early detection significantly improves a patient's …

Review of the application of the most current sophisticated image processing methods for the skin cancer diagnostics purposes

M Myslicka, A Kawala-Sterniuk, A Bryniarska… - Archives of …, 2024 - Springer
This paper presents the most current and innovative solutions applying modern digital
image processing methods for the purpose of skin cancer diagnostics. Skin cancer is one of …

A deep analysis of transfer learning based breast cancer detection using histopathology images

MI Mahmud, M Mamun… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Breast cancer is one of the most common and dangerous cancers in women, while it can
also afflict men. Breast cancer treatment and detection are greatly aided by the use of …