Classification of kidney stones in endoscopic images 📓

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Projects • Blood vessels • Kidney stones • Mammography • Colony growth

Statement

I thank Dr. Gilberto Ochoa-Ruiz for integrating me into the kidney stones 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 increasing the size of the datasets in patches for classification, extracting features, balancing classes, and classifying with machine learning methods such as xgboost.

Visualization and localization of blood vessels in speckle images

Research

At the moment, I have a conference paper and a journal paper with the kidney stones team

On the in vivo recognition of kidney stones using machine learning at the journal of Artificial Intelligence In Medicine (Submitted Aug 2021)
Assessing deep learning methods for the identification of kidney stones in endoscopic images at the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). [Paper] [arXiv] [Keynote] [Code] [Slides] [Poster] [Extended abstract]

Other projects: Blood vessels, Mammography, Colony growth, SpeckleLab