Results 71 to 80 of about 9,617,317 (280)

Automating Carotid Intima-Media Thickness Video Interpretation with Convolutional Neural Networks

, 2017
Cardiovascular disease (CVD) is the leading cause of mortality yet largely preventable, but the key to prevention is to identify at-risk individuals before adverse events.
Hurst, R. Todd, Kendall, Christopher B., Liang, Jianming, Shin, Jae Y., Tajbakhsh, Nima   +4 more
core   +1 more source

<title>Some Techniques For Digital Processing, Display And Interpretation Of Ratio Images In Multispectral Remote Sensing</title> [PDF]

, 1977
G.W. Wecksung, J.R. Breedlove
openalex   +3 more sources

A large scale training sample database system for intelligent interpretation of remote sensing imagery

Geo-spatial Information Science
Artificial Intelligence (AI) Machine Learning (ML) technologies, particularly Deep Learning (DL), have demonstrated significant potential in the interpretation of Remote Sensing (RS) imagery, covering tasks such as scene classification, object detection,
Zhipeng Cao, Liangcun Jiang, Peng Yue, Jianya Gong, Xiangyun Hu, Shuaiqi Liu, Haofeng Tan, Chang Liu, Boyi Shangguan, Dayu Yu   +9 more
doaj   +1 more source

Evaluating the effectiveness of intensive versus non‐intensive image interpretation education for radiographers: a randomised controlled trial

Journal of Medical Radiation Sciences, 2018
The purpose of this randomised controlled trial was to compare the effectiveness of intensive and non‐intensive formats of delivery of image interpretation education for radiographers.
M. Neep, T. Steffens, P. Eastgate, S. McPhail   +3 more
semanticscholar   +1 more source

Clinical radiology: Going an extra mile for patient care

Indian Journal of Radiology and Imaging, 2018
Context: Clinical details help radiologists report accurately. However, the clinical aspect has taken a backseat among radiologists, who are overdependent on referral notes.
Upendra Kumar Joish, Hirdesh Sahni, R Harikiran Reddy, Vivek Sreekanth   +3 more
doaj   +1 more source

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis [PDF]

, 2018
In this paper, we introduce an unsupervised learning approach to automatically discover, summarize, and manipulate artistic styles from large collections of paintings.
Mairal, Julien, Schmid, Cordelia, Wynen, Daan   +2 more
core   +2 more sources

Improving the delivery of health care to patients: radiographers and frontline image interpretation

Journal of Medical Radiation Sciences, 2018
Australia led the world in raising the level of entry‐level education to practice as a radiographer. It now lags behind in formalising radiographer input into the process of image interpretation. The time has come to rectify this situation.
M. Baird
semanticscholar   +1 more source

Convolutional Deblurring for Natural Imaging

, 2019
In this paper, we propose a novel design of image deblurring in the form of one-shot convolution filtering that can directly convolve with naturally blurred images for restoration.
Hosseini, Mahdi S., Plataniotis, Konstantinos N.   +1 more
core   +1 more source

Image interpretation above and below the object level

Interface Focus, 2018
Computational models of vision have advanced in recent years at a rapid rate, rivalling in some areas human-level performance. Much of the progress to date has focused on analysing the visual scene at the object level—the recognition and localization of ...
Guy Ben-Yosef, S. Ullman
semanticscholar   +1 more source

Correlation of Semi-Quantitative Breast-Specific Gamma Imaging Findings with Dynamic Contrast-Enhanced MRI Parameters Assessed by a Computer-Aided Evaluation Program for Breast Cancer

대한영상의학회지, 2018
Purpose: To investigate whether a correlation exists between the semi-quantitative breast-specific gamma imaging (BSGI) findings and dynamic contrast-enhanced (DCE) MRI parameters assessed by a computer-aided evaluation program. Materials and Methods:
Saemee Ahn, Hye Ryoung Koo, Jeong Seon Park, Juhee Moon, Yun Young Choi, Min Sung Chung   +5 more
doaj   +1 more source