An overview of mammographic density and its association with breast cancer
SS Nazari, P Mukherjee - Breast cancer, 2018 - Springer
In 2017, breast cancer became the most commonly diagnosed cancer among women in the
US. After lung cancer, breast cancer is the leading cause of cancer-related mortality in …
US. After lung cancer, breast cancer is the leading cause of cancer-related mortality in …
Ultrasound imaging technologies for breast cancer detection and management: a review
Ultrasound imaging is a commonly used modality for breast cancer detection and diagnosis.
In this review, we summarize ultrasound imaging technologies and their clinical applications …
In this review, we summarize ultrasound imaging technologies and their clinical applications …
Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results
Genetic testing of cancer susceptibility genes is now widely applied in clinical practice to
predict risk of developing cancer. In general, sequence‐based testing of germline DNA is …
predict risk of developing cancer. In general, sequence‐based testing of germline DNA is …
Automated breast cancer detection in digital mammograms of various densities via deep learning
YJ Suh, J Jung, BJ Cho - Journal of personalized medicine, 2020 - mdpi.com
Mammography plays an important role in screening breast cancer among females, and
artificial intelligence has enabled the automated detection of diseases on medical images …
artificial intelligence has enabled the automated detection of diseases on medical images …
Prostate cancer localization using multiparametric MR imaging: comparison of Prostate Imaging Reporting and Data System (PI-RADS) and Likert scales
Purpose To compare the recently proposed Prostate Imaging Reporting and Data System
(PI-RADS) scale that incorporates fixed criteria and a standard Likert scale based on overall …
(PI-RADS) scale that incorporates fixed criteria and a standard Likert scale based on overall …
Classification of benign and malignant masses based on Zernike moments
In mammography diagnosis systems, high False Negative Rate (FNR) has always been a
significant problem since a false negative answer may lead to a patient's death. This paper …
significant problem since a false negative answer may lead to a patient's death. This paper …
Medical image based breast cancer diagnosis: State of the art and future directions
The intervention of medical imaging has significantly improved early diagnosis of breast
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …
Volatile biomarkers in the breath of women with breast cancer
M Phillips, RN Cataneo, C Saunders… - Journal of breath …, 2010 - iopscience.iop.org
We sought biomarkers of breast cancer in the breath because the disease is accompanied
by increased oxidative stress and induction of cytochrome P450 enzymes, both of which …
by increased oxidative stress and induction of cytochrome P450 enzymes, both of which …
Comparison of interreader reproducibility of the prostate imaging reporting and data system and likert scales for evaluation of multiparametric prostate MRI
AB Rosenkrantz, RP Lim, M Haghighi… - American journal of …, 2013 - Am Roentgen Ray Soc
OBJECTIVE. The objective of our study was to compare interreader reproducibility of the
recently proposed “Prostate Imaging Reporting and Data System,” or “PI-RADS,” scale …
recently proposed “Prostate Imaging Reporting and Data System,” or “PI-RADS,” scale …
Hierarchical fused model with deep learning and type-2 fuzzy learning for breast cancer diagnosis
Breast cancer diagnosis based on medical imaging necessitates both fine-grained lesion
segmentation and disease grading. Although deep learning (DL) offers an emerging and …
segmentation and disease grading. Although deep learning (DL) offers an emerging and …