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11-16 April 2026
Conference 13006 > Paper 13006-68
Paper 13006-68

Adaptive image quantization for discrimination of cervical pre-cancer

11 April 2024 • 16:50 - 17:10 CEST | Etoile B, Niveau/Level 1

Abstract

We demonstrate a Bayesian statistics-based outlier separation algorithm, which clearly distinguishes microscope captured images of unstained human cervical tissue sections of normal and different grades of precancerous tissues. The semi-automated global and adaptive method implements outlier separation based on the statistical characterization of the image histogram distribution. This multi-level thresholding achieves an effective image quantization of the high cell density domain, most affected in the progression of the disease, which yields a precise visualization of the lesions in the epithelium cellular structures, revealing their temporal changes with the progression of the disease. The pixel count ratio of the quantized high cell density region, below a statistically well-defined threshold, quantitatively discriminates different grades of precancer tissues through Receiver Operating Characteristics.

Presenter

Cornell Univ. (United States)
Dr. Madhur Srivastava is an Assistant Research Professor in the Department of Chemistry and Chemical Biology at Cornell University and Co-Director of the National Biomedical Resource for Advanced Electron Spin Resonance Spectroscopy (ACERT). He also leads the Signal Science Lab, where his research group is developing advanced computational methods for materials design, disease diagnosis and therapeutics. Prior to joining as a faculty at Cornell University, Dr. Srivastava received his undergraduate degree (2007-11) in Electronics and Communication Engineering from JUET, Guna, India, Master of Engineering (2011-12) degree in Electrical and Computer Engineering at Cornell University, and MS/PhD (2014-18) degree in Biomedical Engineering at Cornell University.
Application tracks: AI/ML
Author
Gyana Ranjan Sahoo
Cornell Univ. (United States)
Author
Mayo Clinic (United States)
Author
Indian Institute of Science Education and Research Kolkata (India)
Author
Asima Pradhan
Indian Institute of Technology Kanpur (India)
Presenter/Author
Cornell Univ. (United States)