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Radiomics in medical imaging—“how-to” guide and critical reflection
Insights into Imaging, 2020 Radiomics is a quantitative approach to medical imaging, which aims at enhancing the existing data available to clinicians by means of advanced mathematical analysis.
J. V. van Timmeren +4 more
semanticscholar +1 more source
Medical Image Data and Datasets in the Era of Machine Learning-Whitepaper from the 2016 C-MIMI Meeting Dataset Session. [PDF]
, 2017 At the first annual Conference on Machine Intelligence in Medical Imaging (C-MIMI), held in September 2016, a conference session on medical image data and datasets for machine learning identified multiple issues.
Geis, J Raymond +2 more
core +1 more source
Medical Imaging Technology for Micro/Nanorobots
Nanomaterials, 2023 Due to their enormous potential to be navigated through complex biological media or narrow capillaries, microrobots have demonstrated their potential in a variety of biomedical applications, such as assisted fertilization, targeted drug delivery, tissue ...
Xuejia Liu +9 more
doaj +1 more source
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis [PDF]
, 2018 Neural networks promise to bring robust, quantitative analysis to medical fields, but adoption is limited by the technicalities of training these networks.
Ginley, Brandon +9 more
core +2 more sources
Mobile consultant: Combining total mobility with constant access [PDF]
, 2006 Minimizing the time required for a medical consultant to offer his/her expert opinion, can be viewed as a life-saving procedure. We have designed and tested an integrated system that will allow a medical consultant to freely move either within, or ...
Banitsas, KA +3 more
core +2 more sources
Archives of Medicine and Health Sciences, 2017 Nowadays, millions of studies perform daily around the world. Medical imaging developed throughout for >100 years. It is used to visualize the different body structure and the functional activities.
Yousif Mohamed Y. Abdallah
doaj +1 more source
Sustainability of medical imaging [PDF]
BMJ, 2004 Doctors and patients should be more aware of the long term risks of radiological investigations Contemporary medicine relies heavily on radiological and mediconuclear investigations and procedures. However, the often essential information derived from such investigations is obtained at a risk that few doctors are fully aware of.
openaire +3 more sources
MRI brain classification using support vector machine [PDF]
, 2011 The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. Other than that, medical image retrieval system is to provide a tool for radiologists to retrieve the images ...
Abdullah, N. B. +2 more
core +1 more source
Radiovesicolomics-new approach in medical imaging
Frontiers in Physiology, 2022 This review introduce extracellular vesicles (EVs) to a molecular imaging field. The idea of modern analyses based on the use of omics studies, using high-throughput methods to characterize the molecular content of a single biological system ...
Ewa Ł. Stępień +8 more
doaj +1 more source
The ANTsX ecosystem for quantitative biological and medical imaging
Scientific Reports, 2021 The Advanced Normalizations Tools ecosystem, known as ANTsX, consists of multiple open-source software libraries which house top-performing algorithms used worldwide by scientific and research communities for processing and analyzing biological and ...
N. Tustison +13 more
semanticscholar +1 more source