Contrast‐enhanced MRI for breast cancer screening

RM Mann, CK Kuhl, L Moy - Journal of Magnetic Resonance …, 2019 - Wiley Online Library
Multiple studies in the first decade of the 21st century have established contrast‐enhanced
breast MRI as a screening modality for women with a hereditary or familial increased risk for …

Artificial intelligence for breast cancer analysis: Trends & directions

SM Shah, RA Khan, S Arif, U Sajid - Computers in Biology and Medicine, 2022 - Elsevier
Breast cancer is one of the leading causes of death among women. Early detection of breast
cancer can significantly improve the lives of millions of women across the globe. Given …

Breast cancer screening for women at higher-than-average risk: updated recommendations from the ACR

DL Monticciolo, MS Newell, L Moy, CS Lee… - Journal of the American …, 2023 - Elsevier
Early detection decreases breast cancer death. The ACR recommends annual screening
beginning at age 40 for women of average risk and earlier and/or more intensive screening …

Circulating tumor cells: from new biological insights to clinical practice

X Gu, S Wei, X Lv - Signal transduction and targeted therapy, 2024 - nature.com
The primary reason for high mortality rates among cancer patients is metastasis, where
tumor cells migrate through the bloodstream from the original site to other parts of the body …

[HTML][HTML] A modified LeNet CNN for breast cancer diagnosis in ultrasound images

S Balasubramaniam, Y Velmurugan, D Jaganathan… - Diagnostics, 2023 - mdpi.com
Convolutional neural networks (CNNs) have been extensively utilized in medical image
processing to automatically extract meaningful features and classify various medical …

Breast density implications and supplemental screening

A Vourtsis, WA Berg - European radiology, 2019 - Springer
Digital breast tomosynthesis (DBT) has been widely implemented in place of 2D
mammography, although it is less effective in women with extremely dense breasts. Breast …

Progress and future trends in PET/CT and PET/MRI molecular imaging approaches for breast cancer

Y Ming, N Wu, T Qian, X Li, DQ Wan, C Li, Y Li… - Frontiers in …, 2020 - frontiersin.org
Breast cancer is a major disease with high morbidity and mortality in women worldwide.
Increased use of imaging biomarkers has been shown to add more information with clinical …

[HTML][HTML] Blood-based DNA methylation signatures in cancer: A systematic review

Y Li, Z Fan, Y Meng, S Liu, H Zhan - … Acta (BBA)-Molecular Basis of Disease, 2023 - Elsevier
DNA methylation profiles are in dynamic equilibrium via the initiation of methylation,
maintenance of methylation and demethylation, which control gene expression and …

[HTML][HTML] 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 …

Screening of breast cancer from thermogram images by edge detection aided deep transfer learning model

S Dey, R Roychoudhury, S Malakar… - Multimedia Tools and …, 2022 - Springer
Breast cancer, the most common invasive cancer, causes deaths of thousands of women in
the world every year. Early detection of the same is a remedy to lessen the death rate …