Research

RESEARCH & INTERESTS

Computer Vision, Machine Learning, Artificial Intelligence, Biomedical Informatics, Clinical Data Analysis, Deep Learning, Data Mining, Image Processing, Digital Pathology, Whole Slide Image Processing, Detecting Cancer, Survival Analysis.

MACHINE LEARNING & BIOMEDICAL INFORMATICS

My research focuses on the applications of machine learning in multidisciplinary research areas. Predicting clinical outcomes from biomedical data through quantitative phenotypic information from digital pathology images has been received much attention. My work has contributed to establishing a number of open software tools that enable researchers to quickly handle large and complex datasets using machine learning algorithms.

HistomicsML

HistomicsML is an active machine learning tool that enables researchers to manage whole slide images very quickly and precisely.

Source 

https://github.com/CancerDataScience/HistomicsML2

Documentation 

https://histomicsml2.readthedocs.io/en/latest/index.html

HistomicsTK

HistomicsTK is a Python and REST API for the analysis of Histopathology images in association with clinical and genomic data.

Source 

https://github.com/DigitalSlideArchive/HistomicsTK

Documentation 

https://digitalslidearchive.github.io/HistomicsTK/