EDITORIAL
Published on 01 Sep 2023
Editorial: Bridging quantitative imaging and artificial intelligence methods in preclinical and clinical oncology
doi 10.3389/fonc.2023.1272030
- 898 views
- Frontiers in Oncology
- Cancer Imaging and Image-directed Interventions
- Research Topics
- Bridging Quantitative Imaging and Artificial Intelligence Methods in Preclinical and Clinical Oncology
Bridging Quantitative Imaging and Artificial Intelligence Methods in Preclinical and Clinical Oncology
4,240
Total downloads
12k
Total views and downloads
Articles
ORIGINAL RESEARCH
Published on 16 Nov 2022
Improve follicular thyroid carcinoma diagnosis using computer aided diagnosis system on ultrasound images
doi 10.3389/fonc.2022.939418
- 937 views
- 5 citations
ORIGINAL RESEARCH
Published on 10 Nov 2022
Radiomics nomogram based on multi-parametric magnetic resonance imaging for predicting early recurrence in small hepatocellular carcinoma after radiofrequency ablation
doi 10.3389/fonc.2022.1013770
- 1,351 views
- 11 citations
ORIGINAL RESEARCH
Published on 11 Oct 2022
Automated data preparation for in vivo tumor characterization with machine learning
doi 10.3389/fonc.2022.1017911
- 1,928 views
- 6 citations
ORIGINAL RESEARCH
Published on 18 Aug 2022
Using combined CT-clinical radiomics models to identify epidermal growth factor receptor mutation subtypes in lung adenocarcinoma
doi 10.3389/fonc.2022.846589
- 1,652 views
- 3 citations
ORIGINAL RESEARCH
Published on 26 May 2022
The Machine Learning Model for Distinguishing Pathological Subtypes of Non-Small Cell Lung Cancer
doi 10.3389/fonc.2022.875761
- 2,462 views
- 20 citations
