Supporting data for “Digital Healthcare Technology for Precision Oncology: development of artificial intelligence-driven clinical models to predict prognosis for oral squamous cell carcinoma”

<p dir="ltr">The data for the thesis consists of separate files for chapters 2, 3, and 4. The Chapter 2, 3, 4 specifically contains different sets of data, including:</p><p><br></p><p dir="ltr">1. Patient data: patients with oral squamous cell carcinoma from the Queen Mary Hospital (Chapter 2)</p><p dir="ltr">2. Brightfield vs confocal images: tumor and non-tumor images (Chapter 3)</p><p dir="ltr">3. Intrarater reliability: tumor images (Chapter 3)</p><p dir="ltr">4. Waveform analysis: comparisons among early recurrence, late/no recurrence, and non-tumor groups (Chapter 3)</p><p dir="ltr">5. 512x512 images: brightfield and confocal images in 512x512 pixels from oral cancer patients (Chapter 3)</p><p dir="ltr">6. Biocompatibility and cell migration: 2.5D cell culture for SCC15 cell line (Chapter 4)</p><p dir="ltr">7. Colony assay: 2D cell culture for SCC15 cell line (Chapter 4)</p><p dir="ltr">8. Scanning electron microscopy (Chapter 4)</p><p dir="ltr">9. Wound healing assay (Chapter 4)</p>