A novel deep learning based framework for the detection and classification of breast cancer using transfer learning

SU Khan, N Islam, Z Jan, IU Din… - Pattern Recognition …, 2019 - Elsevier
Breast cancer is among the leading cause of mortality among women in developing as well
as under-developing countries. The detection and classification of breast cancer in the early …

A novel deep-learning model for automatic detection and classification of breast cancer using the transfer-learning technique

A Saber, M Sakr, OM Abo-Seida, A Keshk… - IEEe Access, 2021 - ieeexplore.ieee.org
Breast cancer (BC) is one of the primary causes of cancer death among women. Early
detection of BC allows patients to receive appropriate treatment, thus increasing the …

The impact of data processing and ensemble on breast cancer detection using deep learning

A Mohamed, E Amer, N Eldin, M Hossam… - Journal of Computing …, 2022 - journals.ekb.eg
According to the World Health Organization, cancer is the second leading cause of mortality.
Breast cancer is the most prevalent cancer diagnosed in women around the world. Breast …

Transfer learning based histopathologic image classification for breast cancer detection

E Deniz, A Şengür, Z Kadiroğlu, Y Guo, V Bajaj… - … information science and …, 2018 - Springer
Breast cancer is one of the leading cancer type among women in worldwide. Many breast
cancer patients die every year due to the late diagnosis and treatment. Thus, in recent years …

Breast cancer detection and classification empowered with transfer learning

S Arooj, M Zubair, MF Khan, K Alissa… - Frontiers in Public …, 2022 - frontiersin.org
Cancer is a major public health issue in the modern world. Breast cancer is a type of cancer
that starts in the breast and spreads to other parts of the body. One of the most common …

[HTML][HTML] Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning

H Aljuaid, N Alturki, N Alsubaie, L Cavallaro… - Computer Methods and …, 2022 - Elsevier
Abstract Background and Objective: Many developed and non-developed countries
worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in …

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] MultiNet: A deep neural network approach for detecting breast cancer through multi-scale feature fusion

SI Khan, A Shahrior, R Karim, M Hasan… - Journal of King Saud …, 2022 - Elsevier
Breast cancer diagnosis from biopsy tissue images conducted manually by pathologists is
costly, time-consuming, and disagreements among specialists. Nowadays, the advancement …

Transfer learning-assisted multi-resolution breast cancer histopathological images classification

N Ahmad, S Asghar, SA Gillani - The Visual Computer, 2022 - Springer
Breast cancer is one of the leading death cause among women nowadays. Several methods
have been proposed for the detection of breast cancer. Various machine learning-based …

Classification of histopathological images for early detection of breast cancer using deep learning

EM Senan, FW Alsaade… - Journal of Applied …, 2021 - jase.tku.edu.tw
Breast cancer is one of the most common and deadly types of cancer that develops in the
breast tissue of women worldwide. This is why researchers and experts are interested in …