About
Contact & Profiles
Research Areas
- Radiomics and Machine Learning in Medical Imaging
- Esophageal Cancer Research and Treatment
- Lung Cancer Diagnosis and Treatment
Beihang University
2024
Abstract Objective To investigate the feasibility and accuracy of predicting locoregional recurrence (LR) in elderly patients with esophageal squamous cell cancer (ESCC) who underwent radical radiotherapy using a pairwise machine learning algorithm. Methods The 130 datasets enrolled were randomly divided into training set testing 7:3 ratio. Clinical factors included radiomics features extracted from pretreatment CT scans pyradiomics-based software, naive Bayes (NB) model was developed....
10.1007/s00261-024-04377-7
article
EN
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Abdominal Radiology
2024-06-04
10.1109/bibm62325.2024.10822499
article
EN
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
2024-12-03
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