Artificial intelligence in the interpretation of breast cancer on MRI
D Sheth, ML Giger - Journal of Magnetic Resonance Imaging, 2020 - Wiley Online Library
Advances in both imaging and computers have led to the rise in the potential use of artificial
intelligence (AI) in various tasks in breast imaging, going beyond the current use in …
intelligence (AI) in various tasks in breast imaging, going beyond the current use in …
Association of clinician diagnostic performance with machine learning–based decision support systems: a systematic review
Importance An increasing number of machine learning (ML)–based clinical decision support
systems (CDSSs) are described in the medical literature, but this research focuses almost …
systems (CDSSs) are described in the medical literature, but this research focuses almost …
A case-based interpretable deep learning model for classification of mass lesions in digital mammography
Interpretability in machine learning models is important in high-stakes decisions such as
whether to order a biopsy based on a mammographic exam. Mammography poses …
whether to order a biopsy based on a mammographic exam. Mammography poses …
Artificial intelligence applied to breast MRI for improved diagnosis
Y Jiang, AV Edwards, GM Newstead - Radiology, 2021 - pubs.rsna.org
Background Recognition of salient MRI morphologic and kinetic features of various
malignant tumor subtypes and benign diseases, either visually or with artificial intelligence …
malignant tumor subtypes and benign diseases, either visually or with artificial intelligence …
Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer
ML Giger, N Karssemeijer… - Annual review of …, 2013 - annualreviews.org
The role of breast image analysis in radiologists' interpretation tasks in cancer risk
assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis …
assessment, detection, diagnosis, and treatment continues to expand. Breast image analysis …
Deciphering genomic underpinnings of quantitative MRI-based radiomic phenotypes of invasive breast carcinoma
Abstract Magnetic Resonance Imaging (MRI) has been routinely used for the diagnosis and
treatment of breast cancer. However, the relationship between the MRI tumor phenotypes …
treatment of breast cancer. However, the relationship between the MRI tumor phenotypes …
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data
Genomic and radiomic imaging profiles of invasive breast carcinomas from The Cancer
Genome Atlas and The Cancer Imaging Archive were integrated and a comprehensive …
Genome Atlas and The Cancer Imaging Archive were integrated and a comprehensive …
Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution
Y Ji, H Li, AV Edwards, J Papaioannou, W Ma, P Liu… - Cancer Imaging, 2019 - Springer
Background As artificial intelligence methods for the diagnosis of disease advance, we
aimed to evaluate machine learning in the predictive task of distinguishing between …
aimed to evaluate machine learning in the predictive task of distinguishing between …
Clinical artificial intelligence applications: breast imaging
Breast cancer is the most commonly diagnosed cancer and the second leading cause of
cancer death among women in the United States, with over 281,000 estimated new cases …
cancer death among women in the United States, with over 281,000 estimated new cases …
Past, present, and future of machine learning and artificial intelligence for breast cancer screening
Breast cancer screening has evolved substantially over the past few decades because of
advancements in new image acquisition systems and novel artificial intelligence (AI) …
advancements in new image acquisition systems and novel artificial intelligence (AI) …