[HTML][HTML] Breast histopathological image analysis using image processing techniques for diagnostic purposes: A methodological review

R Rashmi, K Prasad, CBK Udupa - Journal of Medical Systems, 2022 - Springer
Breast cancer in women is the second most common cancer worldwide. Early detection of
breast cancer can reduce the risk of human life. Non-invasive techniques such as …

Deep convolutional network for breast cancer classification: enhanced loss function (ELF)

S Acharya, A Alsadoon, PWC Prasad… - The Journal of …, 2020 - Springer
The accurate classification of the histopathological images of breast cancer diagnosis may
face a huge challenge due to the complexity of the pathologist images. Currently, computer …

Detection of breast cancer using histopathological image classification dataset with deep learning techniques

VK Reshma, N Arya, SS Ahmad, I Wattar… - BioMed Research …, 2022 - Wiley Online Library
Cancer is one of the top causes of mortality, and it arises when cells in the body grow
abnormally, like in the case of breast cancer. For people all around the world, it has now …

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 …

Breast cancer detection and classification using traditional computer vision techniques: a comprehensive review

S Zahoor, IU Lali, MA Khan, K Javed… - Current medical …, 2020 - ingentaconnect.com
Breast Cancer is a common dangerous disease for women. Around the world, many women
have died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer …

Analysis of histopathological images for prediction of breast cancer using traditional classifiers with pre-trained CNN

K Gupta, N Chawla - Procedia Computer Science, 2020 - Elsevier
Breast cancer is one of the most commonly found and dangerous cancer among women
which leads to a major research topic in medical science. Most of the times, it is identified by …

[HTML][HTML] Breast cancer dataset, classification and detection using deep learning

MS Iqbal, W Ahmad, R Alizadehsani, S Hussain… - Healthcare, 2022 - mdpi.com
Incorporating scientific research into clinical practice via clinical informatics, which includes
genomics, proteomics, bioinformatics, and biostatistics, improves patients' treatment …

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

EH Houssein, MM Emam, AA Ali… - Expert Systems with …, 2021 - Elsevier
Breast cancer is the second leading cause of death for women, so accurate early detection
can help decrease breast cancer mortality rates. Computer-aided detection allows …

Classification of breast cancer based on histology images using convolutional neural networks

D Bardou, K Zhang, SM Ahmad - Ieee Access, 2018 - ieeexplore.ieee.org
In recent years, the classification of breast cancer has been the topic of interest in the field of
Healthcare informatics, because it is the second main cause of cancer-related deaths in …

Survey of deep learning in breast cancer image analysis

TG Debelee, F Schwenker, A Ibenthal, D Yohannes - Evolving Systems, 2020 - Springer
Computer-aided image analysis for better understanding of images has been time-honored
approaches in the medical computing field. In the conventional machine learning approach …