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  1. Collagen disorder architecture features are associated with clinical, molecular, genetic factors and survival outcomes in colon cancer
  2. Association of AI-informed biomarkers of spatial organization of tumor-infiltrating lymphocytes with loco-regional recurrence in laryngeal squamous cell cancer.
  3. 1163 AI-Informed Features of Collagen Disorder Architecture (CoDA) Are Associated With Loco-Regional Recurrence in Laryngeal Cancer
  4. 1205 AI-informed integration of spatial architecture of collagen and tumor-infiltrating lymphocytes from H&E images predicts response to immunotherapy in head and neck squamous cell carcinoma patients
  5. Association of artificial intelligence–derived collagen disorder architecture (CoDA) features with survival outcome and objective response to immune checkpoint inhibitors in patients with head and neck squamous cell carcinoma.
  6. Abstract 7382: Artificial intelligence derived features of collagen architecture identify high risk HPV associated oropharyngeal squamous cell carcinoma patients
  7. Machine learning driven index of tumor multinucleation correlates with survival and suppressed anti-tumor immunity in head and neck squamous cell carcinoma patients
  8. Image analysis reveals differences in tumor multinucleations in Black and White patients with human papillomavirus‐associated oropharyngeal squamous cell carcinoma
  9. Imaging biomarkers of collagen architecture on baseline biopsies in association with response in patients with head and neck squamous cell carcinoma treated with immunotherapy.
  10. Measurement of chaos and quantum decoherence in H&E stained images of oral epithelium for early detection Oral Submucous Fibrosis
  11. 829 Spatial arrangement and density of tumor-infiltrating lymphocytes (TILs) predicts response to immunotherapy in head and neck squamous cell carcinoma patients
  12. Epithelial Distribution of E-Cadherin, p63, and Mitotic Figures in ApoTome Images to Determine the Oncogenic Potentiality of Oral Submucous Fibrosis
  13. Characterization of alginate-capped nanosilver by fractal and entropy analysis on its transmission electron microphotographs
  14. Deconvolution for Enhancement of Biological Images Obtained by Fluorescence Microscopy
  15. Segmentation and analysis of surface characteristics of oral tissues obtained by scanning electron microscopy to differentiate normal and oral precancerous condition
  16. Probable Role of Non-exosomal Extracellular Vesicles in Colorectal Cancer Metastasis to Kidney: An In Vitro Cell Line Based Study and Image Analysis
  17. Analysis of images for detection of oral epithelial dysplasia: A review
  18. Early detection of oral precancer by analysing H&E stained images using ImageJ
  19. Detection and analysis of abnormal nuclear changes in oral cytological smears by Papanicolaou staining