Calcification Detection in Intravascular Ultrasound (IVUS) Images Using Transfer Learning Based MultiSVM model
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Calcification Detection in Intravascular Ultrasound (IVUS) Images Using Transfer Learning Based MultiSVM model
Authors
Keywords
-
Journal
ULTRASONIC IMAGING
Volume 45, Issue 3, Pages 136-150
Publisher
SAGE Publications
Online
2023-04-13
DOI
10.1177/01617346231164574
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- On the cross‐validation bias due to unsupervised preprocessing
- (2022) Amit Moscovich et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images
- (2022) Fubao Zhu et al. ULTRASONIC IMAGING
- Automatic Lumen Border Detection in IVUS Images Using Deep Learning Model and Handcrafted Features
- (2021) Kai Li et al. ULTRASONIC IMAGING
- Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph
- (2021) Weiqiu Jin et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automatic Detection of Atherosclerotic Plaque and Calcification From Intravascular Ultrasound Images by Using Deep Convolutional Neural Networks
- (2021) Yi-Chen Li et al. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
- Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries
- (2021) Hiroki Shinohara et al. PLoS One
- A Transfer Learning Architecture Based on a Support Vector Machine for Histopathology Image Classification
- (2021) Jiayi Fan et al. Applied Sciences-Basel
- Fully automated lumen and vessel contour segmentation in intravascular ultrasound datasets
- (2021) Pablo J. Blanco et al. MEDICAL IMAGE ANALYSIS
- Convolutional networks for the segmentation of intravascular ultrasound images: Evaluation on a multicenter dataset
- (2021) Haiyan Du et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Automated Quantitative Assessment of Coronary Calcification Using Intravascular Ultrasound
- (2020) Shengnan Liu et al. ULTRASOUND IN MEDICINE AND BIOLOGY
- Deep High-Resolution Representation Learning for Visual Recognition
- (2020) Jingdong Wang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Brain tumor classification for MR images using transfer learning and fine-tuning
- (2019) Zar Nawab Khan Swati et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Automated classification of dense calcium tissues in gray-scale intravascular ultrasound images using a deep belief network
- (2019) Juhwan Lee et al. BMC MEDICAL IMAGING
- Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks
- (2018) Nils Gessert et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic segmentation of the lumen region in intravascular images of the coronary artery
- (2017) Danilo Samuel Jodas et al. MEDICAL IMAGE ANALYSIS
- Quantitative analysis of retinal OCT
- (2016) Milan Sonka et al. MEDICAL IMAGE ANALYSIS
- Optical coherence tomography imaging during percutaneous coronary intervention impacts physician decision-making: ILUMIEN I study
- (2015) William Wijns et al. EUROPEAN HEART JOURNAL
- Automated Detection Framework of the Calcified Plaque with Acoustic Shadowing in IVUS Images
- (2014) Zhifan Gao et al. PLoS One
- Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
- (2013) Simone Balocco et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Coronary atherosclerosis with vulnerable plaque and complicated lesions in transplant recipients: new insight into cardiac allograft vasculopathy by optical coherence tomography
- (2013) Andrew Cassar et al. EUROPEAN HEART JOURNAL
- Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison With Virtual Histology
- (2012) A. Katouzian et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images
- (2012) A. Katouzian et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- In vivo characterization of coronary plaques: novel findings from comparing greyscale and virtual histology intravascular ultrasound and near-infrared spectroscopy
- (2011) J. Pu et al. EUROPEAN HEART JOURNAL
- Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images
- (2008) G. Unal et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Automatic segmentation of calcified plaques and vessel borders in IVUS images
- (2008) Arash Taki et al. International Journal of Computer Assisted Radiology and Surgery
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started