Introduction to radiomics
Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative
metrics—the so-called radiomic features—within medical images. Radiomic features capture …
metrics—the so-called radiomic features—within medical images. Radiomic features capture …
[HTML][HTML] Application of radiomics and machine learning in head and neck cancers
Z Peng, Y Wang, Y Wang, S Jiang, R Fan… - … journal of biological …, 2021 - ncbi.nlm.nih.gov
With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …
high-throughput quantitative data could be extracted from digital medical images, which has …
Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI
Purpose Risk classification of primary prostate cancer in clinical routine is mainly based on
prostate-specific antigen (PSA) levels, Gleason scores from biopsy samples, and tumor …
prostate-specific antigen (PSA) levels, Gleason scores from biopsy samples, and tumor …
[PDF][PDF] Radiomics in PET imaging: a practical guide for newcomers
Radiomic analysis of PET images is a promising approach to extract subtler information and
continuously evolves with advances in artificial intelligence. Using deep-learning methods …
continuously evolves with advances in artificial intelligence. Using deep-learning methods …
Robustness of radiomic features in magnetic resonance imaging: review and a phantom study
R Cattell, S Chen, C Huang - … computing for industry, biomedicine, and art, 2019 - Springer
Radiomic analysis has exponentially increased the amount of quantitative data that can be
extracted from a single image. These imaging biomarkers can aid in the generation of …
extracted from a single image. These imaging biomarkers can aid in the generation of …
Advances in PET/CT technology: an update
This article reviews the current evolution and future directions in PET/CT technology
focusing on three areas: time of flight, image reconstruction, and data-driven gating. Image …
focusing on three areas: time of flight, image reconstruction, and data-driven gating. Image …
Experimental multicenter and multivendor evaluation of the performance of PET radiomic features using 3-dimensionally printed phantom inserts
The sensitivity of radiomic features to several confounding factors, such as reconstruction
settings, makes clinical use challenging. To investigate the impact of harmonized image …
settings, makes clinical use challenging. To investigate the impact of harmonized image …
11C-methionine-PET for differentiating recurrent brain tumor from radiation necrosis: radiomics approach with random forest classifier
M Hotta, R Minamimoto, K Miwa - Scientific reports, 2019 - nature.com
Differentiating recurrent brain tumor from radiation necrosis is often difficult. This study aims
to investigate the efficacy of 11C-methionine (MET)-PET radiomics for distinguishing …
to investigate the efficacy of 11C-methionine (MET)-PET radiomics for distinguishing …
Joint EANM/SNMMI guideline on radiomics in nuclear medicine: Jointly supported by the EANM Physics Committee and the SNMMI Physics, Instrumentation and Data …
Purpose The purpose of this guideline is to provide comprehensive information on best
practices for robust radiomics analyses for both hand-crafted and deep learning-based …
practices for robust radiomics analyses for both hand-crafted and deep learning-based …
Performance of 18F-FDG PET/CT Radiomics for Predicting EGFR Mutation Status in Patients With Non-Small Cell Lung Cancer
M Zhang, Y Bao, W Rui, C Shangguan, J Liu… - Frontiers in …, 2020 - frontiersin.org
Objective To assess the performance of pretreatment 18F-fluorodeoxyglucose positron
emission tomography/computed tomography (18F-FDG PET/CT) radiomics features for …
emission tomography/computed tomography (18F-FDG PET/CT) radiomics features for …