Predicting cancer outcomes with radiomics and artificial intelligence in radiology
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …
application of AI-based cancer imaging analysis to address other, more complex, clinical …
Artificial intelligence and machine learning in cancer imaging
An increasing array of tools is being developed using artificial intelligence (AI) and machine
learning (ML) for cancer imaging. The development of an optimal tool requires …
learning (ML) for cancer imaging. The development of an optimal tool requires …
International evaluation of an AI system for breast cancer screening
Screening mammography aims to identify breast cancer at earlier stages of the disease,
when treatment can be more successful. Despite the existence of screening programmes …
when treatment can be more successful. Despite the existence of screening programmes …
A human-centered evaluation of a deep learning system deployed in clinics for the detection of diabetic retinopathy
E Beede, E Baylor, F Hersch, A Iurchenko… - Proceedings of the …, 2020 - dl.acm.org
Deep learning algorithms promise to improve clinician workflows and patient outcomes.
However, these gains have yet to be fully demonstrated in real world clinical settings. In this …
However, these gains have yet to be fully demonstrated in real world clinical settings. In this …
Deep learning in medical imaging and radiation therapy
The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
therapy are to (a) summarize what has been achieved to date;(b) identify common and …
[HTML][HTML] Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
Background Mammography is the current standard for breast cancer screening. This study
aimed to develop an artificial intelligence (AI) algorithm for diagnosis of breast cancer in …
aimed to develop an artificial intelligence (AI) algorithm for diagnosis of breast cancer in …
[HTML][HTML] Deep learning in medical ultrasound analysis: a review
Ultrasound (US) has become one of the most commonly performed imaging modalities in
clinical practice. It is a rapidly evolving technology with certain advantages and with unique …
clinical practice. It is a rapidly evolving technology with certain advantages and with unique …
Computer‐aided diagnosis in the era of deep learning
Computer‐aided diagnosis (CAD) has been a major field of research for the past few
decades. CAD uses machine learning methods to analyze imaging and/or nonimaging …
decades. CAD uses machine learning methods to analyze imaging and/or nonimaging …
Machine learning in medical imaging
ML Giger - Journal of the American College of Radiology, 2018 - Elsevier
Advances in both imaging and computers have synergistically led to a rapid rise in the
potential use of artificial intelligence in various radiological imaging tasks, such as risk …
potential use of artificial intelligence in various radiological imaging tasks, such as risk …
Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans
This paper performs a comprehensive study on the deep-learning-based computer-aided
diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by …
diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by …