Automatic detection and classification of parasite eggs from fecal images
Doctors hate to do mediocre job of detecting parasite eggs from fecal specimen using microscope.
We develop automatic detection algorithm from microscopic image using image processing technique and artificial neural network.
Idea for approach, developing algorithm, implementation using Matlab programming
Published in Medical Imaging Journal
Received Best Poster Award ($1000) from LabAutomation 2002
- Yoon Seok Yang, Duck Kun Park, Hee Chan Kim, Min-Ho Choi, and Jong-Yil Chai, “Automatic Indentification of Human Helminth Eggs on Microscopic Fecal Specimens Using Digital Image Processing and an Artificial Neural Network”, IEEE Transactions on Biomedical Engineering, Vol. 48, No. 6, pp. 718-730, June 2001 [PDF]
- 2002 Best Poster award with $1000 check at LabAutomation 2002 ( Palm springs, California)