Systematic review of computing approaches for breast cancer detection based computer aided diagnosis using mammogram images

DA Zebari, DA Ibrahim, DQ Zeebaree… - Applied Artificial …, 2021 - Taylor & Francis
Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality
from breast cancer could be reduced by diagnosing and identifying it at an early stage. To …

[HTML][HTML] Comparative analysis of breast cancer detection using machine learning and biosensors

Y Amethiya, P Pipariya, S Patel, M Shah - Intelligent Medicine, 2022 - Elsevier
Breast cancer is a widely occurring cancer in women worldwide and is related to high
mortality. The objective of this review was to present several approaches to investigate the …

What the radiologist should know about artificial intelligence–an ESR white paper

… of Radiology (ESR) communications@ myesr. org … - Insights into …, 2019 - Springer
This paper aims to provide a review of the basis for application of AI in radiology, to discuss
the immediate ethical and professional impact in radiology, and to consider possible future …

Reviewing machine learning and image processing based decision-making systems for breast cancer imaging

H Zerouaoui, A Idri - Journal of Medical Systems, 2021 - Springer
Breast cancer (BC) is the leading cause of death among women worldwide. It affects in
general women older than 40 years old. Medical images analysis is one of the most …

Deep learning for lung cancer diagnosis, prognosis and prediction using histological and cytological images: a systematic review

A Davri, E Birbas, T Kanavos, G Ntritsos, N Giannakeas… - Cancers, 2023 - mdpi.com
Simple Summary Lung cancer is one of the most common and deadly malignancies
worldwide. Microscopic examination of histological and cytological lung specimens can be a …

The systematic review of artificial intelligence applications in breast cancer diagnosis

D Uzun Ozsahin, D Ikechukwu Emegano, B Uzun… - Diagnostics, 2022 - mdpi.com
Several studies have demonstrated the value of artificial intelligence (AI) applications in
breast cancer diagnosis. The systematic review of AI applications in breast cancer diagnosis …

Covid-19 detection in ct/x-ray imagery using vision transformers

MM Al Rahhal, Y Bazi, RM Jomaa, A AlShibli… - Journal of Personalized …, 2022 - mdpi.com
The steady spread of the 2019 Coronavirus disease has brought about human and
economic losses, imposing a new lifestyle across the world. On this point, medical imaging …

A bottom-up review of image analysis methods for suspicious region detection in mammograms

P Oza, P Sharma, S Patel, A Bruno - Journal of Imaging, 2021 - mdpi.com
Breast cancer is one of the most common death causes amongst women all over the world.
Early detection of breast cancer plays a critical role in increasing the survival rate. Various …

Artificial intelligence techniques for cancer detection in medical image processing: A review

C Kaur, U Garg - Materials Today: Proceedings, 2023 - Elsevier
Cancer is the uncontrolled growth of abnormal cells in any part of a body. Cancer is a broad
term for a group of diseases caused when abnormal cells grows in different body parts …

Supplemental breast cancer-screening ultrasonography in women with dense breasts: a systematic review and meta-analysis

WH Yuan, HC Hsu, YY Chen, CH Wu - British journal of cancer, 2020 - nature.com
Background Mammography is not effective in detecting breast cancer in dense breasts.
Methods A search in Medline, Cochrane, EMBASE and Google Scholar databases was …