[HTML][HTML] Deep learning based methods for breast cancer diagnosis: a systematic review and future direction

M Nasser, UK Yusof - Diagnostics, 2023 - mdpi.com
Breast cancer is one of the precarious conditions that affect women, and a substantive cure
has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep …

[HTML][HTML] Breast cancer classification from ultrasound images using probability-based optimal deep learning feature fusion

K Jabeen, MA Khan, M Alhaisoni, U Tariq, YD Zhang… - Sensors, 2022 - mdpi.com
After lung cancer, breast cancer is the second leading cause of death in women. If breast
cancer is detected early, mortality rates in women can be reduced. Because manual breast …

[HTML][HTML] Artificial intelligence in breast ultrasound: from diagnosis to prognosis—a rapid review

N Brunetti, M Calabrese, C Martinoli, AS Tagliafico - Diagnostics, 2022 - mdpi.com
Background: Ultrasound (US) is a fundamental diagnostic tool in breast imaging. However,
US remains an operator-dependent examination. Research into and the application of …

[HTML][HTML] Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Y Shen, FE Shamout, JR Oliver, J Witowski… - Nature …, 2021 - nature.com
Though consistently shown to detect mammographically occult cancers, breast ultrasound
has been noted to have high false-positive rates. In this work, we present an AI system that …

[HTML][HTML] Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm

AA Alhussan, MM Eid, SK Towfek, DS Khafaga - Biomimetics, 2023 - mdpi.com
According to the American Cancer Society, breast cancer is the second largest cause of
mortality among women after lung cancer. Women's death rates can be decreased if breast …

[HTML][HTML] Deep machine learning for oral cancer: from precise diagnosis to precision medicine

RO Alabi, A Almangush, M Elmusrati… - Frontiers in Oral …, 2022 - frontiersin.org
Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and
its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and …

[HTML][HTML] A twin convolutional neural network with hybrid binary optimizer for multimodal breast cancer digital image classification

ON Oyelade, EA Irunokhai, H Wang - Scientific Reports, 2024 - nature.com
There is a wide application of deep learning technique to unimodal medical image analysis
with significant classification accuracy performance observed. However, real-world …

A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images

X Qu, H Lu, W Tang, S Wang, D Zheng, Y Hou… - Medical …, 2022 - Wiley Online Library
Purpose Breast cancer is the most commonly occurring cancer worldwide. The ultrasound
reflectivity imaging technique can be used to obtain breast ultrasound (BUS) images, which …

[HTML][HTML] Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model

S Hossain, S Azam, S Montaha, A Karim, SS Chowa… - Heliyon, 2023 - cell.com
Introduction Breast cancer stands as the second most deadly form of cancer among women
worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose …

[HTML][HTML] Multi-class classification of breast cancer using 6b-net with deep feature fusion and selection method

MJ Umer, M Sharif, S Kadry, A Alharbi - Journal of Personalized Medicine, 2022 - mdpi.com
Breast cancer has now overtaken lung cancer as the world's most commonly diagnosed
cancer, with thousands of new cases per year. Early detection and classification of breast …