九州大学 · 歯学部 / 歯学府・歯学研究院

研究关键词prostate cancer histopathology・radiogenomics・topological image features・deep learning・non-small cell lung cancer・COVID-19 CT severity

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• Fractal dimensions for tumour-related cell types of prostate cancer on histopathology images using multiple-threshold box counting algorithm2025 · Biophysics and Physicobiology 22 ( 4 ) n/a 2025年 （ ISSN: 2189-4779 eISSN: 21894779 ）
• Predictive models of severe disease in patients with COVID-19 pneumonia at an early stage on CT images using topological properties2025 · RADIOLOGICAL PHYSICS AND TECHNOLOGY 18 ( 2 ) 534 - 546 2025年6月 （ ISSN: 1865-0333 eISSN: 1865-0341 ）
• Multiscale Fusion Models With Genomic, Topological, and Pathomic Features to Predict Response to Radiation Therapy for Non-Small Cell Lung Cancer Patients2025 · LABORATORY INVESTIGATION 105 ( 10 ) 104204 2025年10月 （ ISSN: 0023-6837 eISSN: 1530-0307 ）
• Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning2024 · APPLIED SCIENCES-BASEL 14 ( 8 ) 2024年4月 （ eISSN: 2076-3417 ）

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