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  1. Machine learning driven index of tumor multinucleation correlates with survival and suppressed anti-tumor immunity in head and neck squamous cell carcinoma patients
  2. Measurement of chaos and quantum decoherence in H&E stained images of oral epithelium for early detection Oral Submucous Fibrosis
  3. 829 Spatial arrangement and density of tumor-infiltrating lymphocytes (TILs) predicts response to immunotherapy in head and neck squamous cell carcinoma patients
  4. Epithelial Distribution of E-Cadherin, p63, and Mitotic Figures in ApoTome Images to Determine the Oncogenic Potentiality of Oral Submucous Fibrosis
  5. Characterization of alginate-capped nanosilver by fractal and entropy analysis on its transmission electron microphotographs
  6. Deconvolution for Enhancement of Biological Images Obtained by Fluorescence Microscopy
  7. Segmentation and analysis of surface characteristics of oral tissues obtained by scanning electron microscopy to differentiate normal and oral precancerous condition
  8. Probable Role of Non-exosomal Extracellular Vesicles in Colorectal Cancer Metastasis to Kidney: An In Vitro Cell Line Based Study and Image Analysis
  9. Analysis of images for detection of oral epithelial dysplasia: A review
  10. Early detection of oral precancer by analysing H&E stained images using ImageJ
  11. Detection and analysis of abnormal nuclear changes in oral cytological smears by Papanicolaou staining