Contrast-enhanced magnetic resonance image segmentation based on improved U-Net and Inception-ResNet in the diagnosis of spinal metastases
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Contrast-enhanced magnetic resonance image segmentation based on improved U-Net and Inception-ResNet in the diagnosis of spinal metastases
Authors
Keywords
-
Journal
Journal of Bone Oncology
Volume 42, Issue -, Pages 100498
Publisher
Elsevier BV
Online
2023-08-17
DOI
10.1016/j.jbo.2023.100498
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- GCW-UNet segmentation of cardiac magnetic resonance images for evaluation of left atrial enlargement
- (2022) Kelvin K.L. Wong et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Deep learning-based cardiovascular image diagnosis: A promising challenge
- (2019) Kelvin K.L. Wong et al. Future Generation Computer Systems-The International Journal of eScience
- Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas
- (2018) P. Chang et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Breast cancer Ki67 expression prediction by DCE-MRI radiomics features
- (2018) W. Ma et al. CLINICAL RADIOLOGY
- Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images
- (2018) Anum Masood et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Correlation between DCE‑MRI radiomics features and Ki‑67 expression in invasive breast cancer
- (2018) Ma‑Wen Juan et al. Oncology Letters
- Three-dimensional discrete element method for the prediction of protoplasmic seepage through membrane in a biological cell
- (2017) Kelvin K.L. Wong JOURNAL OF BIOMECHANICS
- Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis
- (2017) Hannelore K. van der Burgh et al. NeuroImage-Clinical
- Morphological and dynamic contrast enhanced MR imaging features for the differentiation of chordoma and giant cell tumors in the Axial Skeleton
- (2016) Ning Lang et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays
- (2016) Hui Li et al. RADIOLOGY
- Differentiation of tuberculosis and metastatic cancer in the spine using dynamic contrast-enhanced MRI
- (2015) Ning Lang et al. EUROPEAN SPINE JOURNAL
- CT and MRI Determination of Intermuscular Space within Lumbar Paraspinal Muscles at Different Intervertebral Disc Levels
- (2015) Xuefei Deng et al. PLoS One
- The dropout learning algorithm
- (2014) Pierre Baldi et al. ARTIFICIAL INTELLIGENCE
- Magnetic Resonance Perfusion Characteristics of Hypervascular Renal and Hypovascular Prostate Spinal Metastases
- (2014) Atin Saha et al. SPINE
- Differentiation of myeloma and metastatic cancer in the spine using dynamic contrast-enhanced MRI
- (2013) Ning Lang et al. MAGNETIC RESONANCE IMAGING
- Characterizing Hypervascular and Hypovascular Metastases and Normal Bone Marrow of the Spine Using Dynamic Contrast-Enhanced MR Imaging
- (2012) N.R. Khadem et al. AMERICAN JOURNAL OF NEURORADIOLOGY
- Radiomics: the process and the challenges
- (2012) Virendra Kumar et al. MAGNETIC RESONANCE IMAGING
- Learning-Based Vertebra Detection and Iterative Normalized-Cut Segmentation for Spinal MRI
- (2009) Szu-Hao Huang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- MEDICAL IMAGING AND PROCESSING METHODS FOR CARDIAC FLOW RECONSTRUCTION
- (2009) KELVIN K. L. WONG et al. Journal of Mechanics in Medicine and Biology
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish 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