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ICONIP
2008
15 years 27 days ago
Automatic Particle Detection and Counting by One-Class SVM from Microscope Image
Asbestos-related illnesses become a nationwide problem in Japan. Now human inspectors check whether asbestos is contained in building material or not. To judge whether the specimen...
Hinata Kuba, Kazuhiro Hotta, Haruhisa Takahashi
85
Voted
PRL
2007
128views more  PRL 2007»
14 years 11 months ago
Automatic recognition of biological particles in microscopic images
A simple and general-purpose system to recognize biological particles is presented. It is composed of four stages. First (if necessary) promising locations in the image are detect...
Marc'Aurelio Ranzato, P. E. Taylor, J. M. House, R...
103
Voted
BMCBI
2010
143views more  BMCBI 2010»
14 years 11 months ago
Evaluation of methods for detection of fluorescence labeled subcellular objects in microscope images
Background: Several algorithms have been proposed for detecting fluorescently labeled subcellular objects in microscope images. Many of these algorithms have been designed for spe...
Pekka Ruusuvuori, Tarmo Äijö, Sharif Cho...
82
Voted
MICCAI
2004
Springer
16 years 9 days ago
Cervical Cancer Detection Using SVM Based Feature Screening
We present a novel feature screening algorithm by deriving relevance measures from the decision boundary of Support Vector Machines. It alleviates the "independence" assu...
Jiayong Zhang, Yanxi Liu