Abstract:
Hello, my name is Francisco, and I'm from Cholula 🇲🇽. I process medical images at INAOE and Tecnológico de Monterrey
Keywords:
Machine Learning, Computer Vision & Medical Image Analysis
Projects • Blood vessels • Kidney stones • Mammography • Colony growth
I thank Dr. José de Jesús Rangel-Magdaleno, Dr. Hayde Peregrina-Barreto, and Dr. Julio Cesar Ramirez-San-Juan for integrating me into the speckle team. Also, as soon as I have authorization and the work is published, I will report the codes of the methods used.
I am currently working on denoising with wavelets, improve quality image, segmenting with traditional and clustering methods such as knn.
Our research helps to improve the visualization of blood vessels inside the biological tissue. To achieve this goal we carry out research in biophotonics, high noise signals, digital image processing, and segmentation algorithms.
In this research we address the use of the Discrete Wavelet Transform (DWT) as a multilevel filtering method and region segmentation techniques to improve visualization and localization in LSI images.
At the moment, I have three conference paper and a journal paper with the speckle team
Visualization of blood vessels in in-vitro raw speckle images using an energy-based decomposition criteria on DWT coefficients at the Journal of Biomedical Signal Processing and Control. [Paper] [Code]
Localization of Blood Vessels in in-vitro LSCI Images with K-Means at the 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). [Paper] [Code] [Poster]
Effect of the Exposure Time in Laser Speckle Imaging for Improving Blood Vessels Localization: a Wavelet Approach at the 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). [Paper] [Code] [Slides]
Visualization of in-vitro Blood Vessels in Contrast Images Based on Discrete Wavelet Transform Decomposition at the 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). [Paper] [Code] [Poster]
Working in Speckle Laboratory (SpeckleLab)
Other projects: Kidney stones, Mammography, Colony growth, SpeckleLab