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MICCAI
2003
Springer
16 years 3 months ago
An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs
A robust and automatic system has been developed to detect the visual axis and extract important feature landmarks from slit-lamp photographs, and objectively grade the severity of...
Shaohua Fan, Charles R. Dyer, Larry Hubbard, Barba...
96
Voted
ICML
2007
IEEE
16 years 3 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
ICML
2008
IEEE
16 years 3 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
116
Voted
ISBI
2002
IEEE
16 years 3 months ago
Automated determination of protein subcellular locations from 3D fluorescence microscope images
Knowing the subcellular location of a protein is critical to a full understanding of its function, and automated, objective methods for assigning locations are needed as part of t...
Meel Velliste, Robert F. Murphy
101
Voted
ISBI
2006
IEEE
16 years 3 months ago
A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images
The subcellular location of proteins is most often determined by visual interpretation of fluorescence microscope images. In recent years, automated systems have been developed so...
Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Mu...