Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
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 …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
[HTML][HTML] CNN architecture optimization using bio-inspired algorithms for breast cancer detection in infrared images
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 …
recovery rates in patients. Among such early detection factors, one finds thermography, an …
Machine learning based Breast Cancer screening: trends, challenges, and opportunities
Although breast cancer (BC) deaths have decreased over time, it remains the second
leading cause of cancer-related deaths among women. With the technical advancement of …
leading cause of cancer-related deaths among women. With the technical advancement of …
Thermography as an economical alternative modality to mammography for early detection of breast cancer
AA Khan, AS Arora - Journal of healthcare engineering, 2021 - Wiley Online Library
Breast cancer has become a menacing form of cancer among women accounting for 11.6%
of total deaths of 9.6 million due to all types of cancer every year all over the world. Early …
of total deaths of 9.6 million due to all types of cancer every year all over the world. Early …
An integrated intelligent system for breast cancer detection at early stages using ir images and machine learning methods with explainability
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 …
diagnosis is vital for reducing the fatality rate in the fight against breast cancer …
Recognition of digital dental X-ray images using a convolutional neural network
F Liu, L Gao, J Wan, ZL Lyu, YY Huang, C Liu… - Journal of Digital …, 2023 - Springer
Digital dental X-ray images are an important basis for diagnosing dental diseases,
especially endodontic and periodontal diseases. Conventional diagnostic methods depend …
especially endodontic and periodontal diseases. Conventional diagnostic methods depend …
Cancer detection in breast cells using a hybrid method based on deep complex neural network and data mining
L Yang, S Peng, RO Yahya, L Qian - Journal of Cancer Research and …, 2023 - Springer
Introduction Diagnosis of cancer in breast cells is an important and vital issue in the field of
medicine. In this context, the use of advanced methods such as deep complex neural …
medicine. In this context, the use of advanced methods such as deep complex neural …
Classification of static infrared images using pre-trained CNN for breast cancer detection
CB Gonçalves, JR Souza… - 2021 IEEE 34th …, 2021 - ieeexplore.ieee.org
Breast cancer is a disease that affects many women throughout the world. It is the second
most common type of cancer. The early diagnosis of the disease is relevant for increasing …
most common type of cancer. The early diagnosis of the disease is relevant for increasing …
A Lightweight Method for Breast Cancer Detection Using Thermography Images with Optimized CNN Feature and Efficient Classification
Breast cancer is a prominent cause of death among women worldwide. Infrared
thermography, due to its cost-effectiveness and non-ionizing radiation, has emerged as a …
thermography, due to its cost-effectiveness and non-ionizing radiation, has emerged as a …
Breast tumour detection using machine learning: review of selected methods from 2015 to 2021
G Sharma, N **dal - Multimedia Tools and Applications, 2022 - Springer
Breast tumour is one of the leading causes of death among women worldwide. Researchers
are working hard to develop early and improved detection tools for breast tumour. Several …
are working hard to develop early and improved detection tools for breast tumour. Several …