Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approach
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approach
Authors
Keywords
-
Journal
Scientific Reports
Volume 9, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-06-19
DOI
10.1038/s41598-019-45283-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study
- (2018) Koichiro Yasaka et al. RADIOLOGY
- Non-empirical identification of trigger sites in heterogeneous processes using persistent homology
- (2018) Masao Kimura et al. Scientific Reports
- Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks
- (2017) Paras Lakhani et al. RADIOLOGY
- Persistent homology index as a robust quantitative measure of immunohistochemical scoring
- (2017) Akihiro Takiyama et al. Scientific Reports
- EASL Clinical Practice Guidelines on the management of benign liver tumours
- (2016) JOURNAL OF HEPATOLOGY
- Applications and limitations of radiomics
- (2016) Stephen S F Yip et al. PHYSICS IN MEDICINE AND BIOLOGY
- Hierarchical structures of amorphous solids characterized by persistent homology
- (2016) Yasuaki Hiraoka et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Radiomics: Images Are More than Pictures, They Are Data
- (2016) Robert J. Gillies et al. RADIOLOGY
- A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities
- (2015) M Vallières et al. PHYSICS IN MEDICINE AND BIOLOGY
- ACG Clinical Guideline: The Diagnosis and Management of Focal Liver Lesions
- (2014) Jorge A Marrero et al. AMERICAN JOURNAL OF GASTROENTEROLOGY
- Combined dynamic contrast-enhanced liver MRI and MRA using interleaved variable density sampling
- (2014) Mahdi Salmani Rahimi et al. MAGNETIC RESONANCE IN MEDICINE
- Update on the Role of Imaging in Management of Metastatic Colorectal Cancer
- (2014) Sree Harsha Tirumani et al. RADIOGRAPHICS
- Topology of viral evolution
- (2013) J. M. Chan et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- Primovist, Eovist: What to expect?
- (2012) Bernard E. Van Beers et al. JOURNAL OF HEPATOLOGY
- Radiomics: the process and the challenges
- (2012) Virendra Kumar et al. MAGNETIC RESONANCE IMAGING
- Topology based data analysis identifies a subgroup of breast cancers with a unique mutational profile and excellent survival
- (2011) M. Nicolau et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A Quantitative Approach to Sequence and Image Weighting
- (2010) Takeshi Yokoo et al. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY
- Cirrhosis and Lesion Characterization at MR Imaging
- (2009) Shahid M. Hussain et al. RADIOGRAPHICS
- Benign Hepatic Tumors and Iatrogenic Pseudotumors
- (2009) Stephan W. Anderson et al. RADIOGRAPHICS
- MR Imaging of Liver Fibrosis: Current State of the Art
- (2009) Silvana C. Faria et al. RADIOGRAPHICS
- Diffuse Liver Disease: Strategies for Hepatic CT and MR Imaging
- (2009) Daniel T. Boll et al. RADIOGRAPHICS
- Imaging of liver cancer
- (2009) Ben Ariff et al. WORLD JOURNAL OF GASTROENTEROLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More