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Published in , 2015
Python implementation of eye (pupil) tracking based on the work.
Published in , 2016
Python implementation of vasculature segmentation on retina image based on the work of Hoover and the work of Jiang.
Published in , 2016
Python and C++ implementation on vessel and fissure segmentation in Lung CT Scans based on the work
Published in , 2016
This project focuses on tracking cancer cell based on Li et al., which used watershed algorithm to segment cells and built a feature vector for cell tracking including the information of position, shape, spatial distribution and texture.
Published in , 2017
This project implements convolution with sparse kernel in TensorFlow. This operator is initially for deep learning pruning based on the work.
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This is my first post in in my Github Pages and afterwards, I will post and share more articles and blogs to the people with the same interests! Best of luck!
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This music describes a journey from the earth to our galaxy. Using electronic effects, I convey the appearance of the universe to the notes in music. Hope you’ll enjoy this piece!
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Tracking cancer cell is critical for cell cycle and dynamics analysis; however, the great variety of cells’ apperence through time and during mitosis bring lots of challenges for this task. This blog post an algorithm based on Li’s work using watershed for segmentation and dissimilarity measurement including neighboring distribution, nuclei morphological appearance, migration, and intensity information for tracking.
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I pubished the article of Cancer Cell Tracking on Medium. Please feel free to go checking it! Link
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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