Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches

J Zhang, J Wu, XS Zhou, F Shi, D Shen - Seminars in Cancer Biology, 2023 - Elsevier
Breast cancer is a significant global health burden, with increasing morbidity and mortality
worldwide. Early screening and accurate diagnosis are crucial for improving prognosis …

[HTML][HTML] Artificial intelligence in breast cancer diagnosis and personalized medicine

JS Ahn, S Shin, SA Yang, EK Park, KH Kim… - Journal of Breast …, 2023 - ncbi.nlm.nih.gov
Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …

Overview of artificial intelligence in breast cancer medical imaging

D Zheng, X He, J Jing - Journal of Clinical Medicine, 2023 - mdpi.com
The heavy global burden and mortality of breast cancer emphasize the importance of early
diagnosis and treatment. Imaging detection is one of the main tools used in clinical practice …

Artificial intelligence in medical imaging of the breast

YM Lei, M Yin, MH Yu, J Yu, SE Zeng, WZ Lv… - Frontiers in …, 2021 - frontiersin.org
Artificial intelligence (AI) has invaded our daily lives, and in the last decade, there have been
very promising applications of AI in the field of medicine, including medical imaging, in vitro …

Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction

MA Jones, W Islam, R Faiz, X Chen, B Zheng - Frontiers in oncology, 2022 - frontiersin.org
Breast cancer remains the most diagnosed cancer in women. Advances in medical imaging
modalities and technologies have greatly aided in the early detection of breast cancer and …

Digital image analysis in breast pathology—from image processing techniques to artificial intelligence

S Robertson, H Azizpour, K Smith, J Hartman - Translational Research, 2018 - Elsevier
Breast cancer is the most common malignant disease in women worldwide. In recent
decades, earlier diagnosis and better adjuvant therapy have substantially improved patient …

Artificial intelligence applied to breast pathology

M Yousif, PJ van Diest, A Laurinavicius, D Rimm… - Virchows Archiv, 2022 - Springer
The convergence of digital pathology and computer vision is increasingly enabling
computers to perform tasks performed by humans. As a result, artificial intelligence (AI) is …

[HTML][HTML] Artificial intelligence in digital breast pathology: techniques and applications

A Ibrahim, P Gamble, R Jaroensri, MM Abdelsamea… - The Breast, 2020 - Elsevier
Breast cancer is the most common cancer and second leading cause of cancer-related
death worldwide. The mainstay of breast cancer workup is histopathological diagnosis …

The role of deep learning in advancing breast cancer detection using different imaging modalities: a systematic review

M Madani, MM Behzadi, S Nabavi - Cancers, 2022 - mdpi.com
Simple Summary Breast cancer is the most common cancer, which resulted in the death of
700,000 people around the world in 2020. Various imaging modalities have been utilized to …

Radiomics and artificial intelligence in breast imaging: a survey

T Zhang, T Tan, R Samperna, Z Li, Y Gao… - Artificial Intelligence …, 2023 - Springer
Medical imaging techniques, such as mammography, ultrasound and magnetic resonance
imaging, plays an integral role in the detection and characterization of breast cancer …