AI in medical imaging informatics: current challenges and future directions
This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …
imaging informatics, discusses clinical translation, and provides future directions for …
[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
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 …
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 …
Radiomics in breast cancer classification and prediction
Breast Cancer (BC) is the common form of cancer in women. Its diagnosis and screening are
usually performed through different imaging modalities such as mammography, magnetic …
usually performed through different imaging modalities such as mammography, magnetic …
Radiomics: from qualitative to quantitative imaging
W Rogers, S Thulasi Seetha… - The British journal of …, 2020 - academic.oup.com
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
Radiomics features of multiparametric MRI as novel prognostic factors in advanced nasopharyngeal carcinoma
Purpose: To identify MRI-based radiomics as prognostic factors in patients with advanced
nasopharyngeal carcinoma (NPC). Experimental Design: One-hundred and eighteen …
nasopharyngeal carcinoma (NPC). Experimental Design: One-hundred and eighteen …
Beyond imaging: the promise of radiomics
The domain of investigation of radiomics consists of large-scale radiological image analysis
and association with biological or clinical endpoints. The purpose of the present study is to …
and association with biological or clinical endpoints. The purpose of the present study is to …
Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
NM Braman, M Etesami, P Prasanna, C Dubchuk… - Breast Cancer …, 2017 - Springer
Background In this study, we evaluated the ability of radiomic textural analysis of
intratumoral and peritumoral regions on pretreatment breast cancer dynamic contrast …
intratumoral and peritumoral regions on pretreatment breast cancer dynamic contrast …
Somatic mutations drive distinct imaging phenotypes in lung cancer
Tumors are characterized by somatic mutations that drive biological processes ultimately
reflected in tumor phenotype. With regard to radiographic phenotypes, generally …
reflected in tumor phenotype. With regard to radiographic phenotypes, generally …