Computer-Generated Index for Evaluation of Idiopathic Scoliosis in Digital Chest Images: A Comparison with Digital MeasurementJournal of Digital Imaging - Tập 21 - Trang 113-120 - 2007
Fuk-hay Tang, Lawrence W. C. Chan, Hin-pong Lau, Po-yan Tsui, Chi-wa Cheung
An intelligence system was used to generate index for scoliosis. Tests were designed to evaluate the consistency of the automatic computer-generated index and to quantify the correlation between Cobb angle and computer generated scoliosis classification index (SCI). A fully automatic computer-generated index can be used to assess the extent of spinal curvature rather than manual measurement on rad...... hiện toàn bộ
Ultra-Low-Dose Spectral CT Based on a Multi-level Wavelet Convolutional Neural NetworkJournal of Digital Imaging - Tập 34 - Trang 1359-1375 - 2021
Minjae Lee, Hyemi Kim, Hyo-Min Cho, Hee-Joung Kim
Spectral computed tomography (CT) based on a photon-counting detector (PCD) is a promising technique with the potential to improve lesion detection, tissue characterization, and material decomposition. PCD-based scanners have several technical issues including operation in the step-and-scan mode and long data acquisition time. One straightforward solution to these issues is to reduce the number of...... hiện toàn bộ
Integrating Natural Language Processing and Machine Learning Algorithms to Categorize Oncologic Response in Radiology ReportsJournal of Digital Imaging - Tập 31 - Trang 178-184 - 2017
Po-Hao Chen, Hanna Zafar, Maya Galperin-Aizenberg, Tessa Cook
A significant volume of medical data remains unstructured. Natural language processing (NLP) and machine learning (ML) techniques have shown to successfully extract insights from radiology reports. However, the codependent effects of NLP and ML in this context have not been well-studied. Between April 1, 2015 and November 1, 2016, 9418 cross-sectional abdomen/pelvis CT and MR examinations containi...... hiện toàn bộ
A psychophysical comparison of two methods for adaptive histogram equalizationJournal of Digital Imaging - Tập 2 - Trang 82-91
John B. Zimmerman, Steve B. Cousins, Karin M. Hartzell, Mark E. Frisse, Michael G. Kahn
Adaptive histogram equalization (AHE) is a method for adaptive contrast enhancement of digital images. It is an automatic, reproducible method for the simultaneous viewing of contrast within a digital image with a large dynamic range. Recent experiments have shown that in specific cases, there is no significant difference in the ability of AHE and linear intensity windowing to display gray-scale c...... hiện toàn bộ