Artificial intelligence assists precision medicine in cancer treatment

J Liao, X Li, Y Gan, S Han, P Rong, W Wang… - Frontiers in …, 2023 - frontiersin.org
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

Breast tumour classification using ultrasound elastography with machine learning: A systematic scoping review

YJ Mao, HJ Lim, M Ni, WH Yan, DWC Wong… - Cancers, 2022 - mdpi.com
Simple Summary Breast cancer is one of the most common cancers among women globally.
Early and accurate screening of breast tumours can improve survival. Ultrasound …

A review on computational methods for breast cancer detection in ultrasound images using multi-image modalities

S Sushanki, AK Bhandari, AK Singh - Archives of Computational Methods …, 2024 - Springer
Breast cancer is a kind of cancer that develops and propagates from tissues of the breast
and slowly transcends the whole body, this type of tumor is found in both sexes. Early …

Deep learning‐based multimodal fusion network for segmentation and classification of breast cancers using B‐mode and elastography ultrasound images

S Misra, C Yoon, KJ Kim, R Managuli… - Bioengineering & …, 2023 - Wiley Online Library
Ultrasonography is one of the key medical imaging modalities for evaluating breast lesions.
For differentiating benign from malignant lesions, computer‐aided diagnosis (CAD) systems …

Recent advances in deep-learning-enhanced photoacoustic imaging

J Yang, S Choi, J Kim, B Park… - Advanced Photonics …, 2023 - spiedigitallibrary.org
Photoacoustic imaging (PAI), recognized as a promising biomedical imaging modality for
preclinical and clinical studies, uniquely combines the advantages of optical and ultrasound …

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 …

Ultrasound radiomics in personalized breast management: Current status and future prospects

J Gu, T Jiang - Frontiers in oncology, 2022 - frontiersin.org
Breast cancer is the most common cancer in women worldwide. Providing accurate and
efficient diagnosis, risk stratification and timely adjustment of treatment strategies are …

Application and prospects of AI-based radiomics in ultrasound diagnosis

H Zhang, Z Meng, J Ru, Y Meng, K Wang - Visual Computing for Industry …, 2023 - Springer
Artificial intelligence (AI)-based radiomics has attracted considerable research attention in
the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique …

[HTML][HTML] Intelligent multi-modal shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis (INSPiRED 002): a retrospective, international …

A Pfob, C Sidey-Gibbons, RG Barr, V Duda… - European Journal of …, 2022 - Elsevier
Background Breast ultrasound identifies additional carcinomas not detected in
mammography but has a higher rate of false-positive findings. We evaluated whether use of …

A multimodal breast cancer diagnosis method based on Knowledge-Augmented Deep Learning

D Guo, C Lu, D Chen, J Yuan, Q Duan, Z Xue… - … Signal Processing and …, 2024 - Elsevier
Breast cancer is a worldwide medical challenge that requires Early diagnosis. While there
are numerous diagnostic methods for breast cancer, many primarily focus on network …