An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs

@inproceedings{Fan2003AnAS,
  title={An Automatic System for Classification of Nuclear Sclerosis from Slit-Lamp Photographs},
  author={Shaohua Fan and Charles R. Dyer and Larry Hubbard and Barbara Klein},
  booktitle={MICCAI},
  year={2003}
}
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 nuclear sclerosis based on the intensities of those landmarks. Using linear regression, we first select the features that play important roles in classification, and then fit a linear grading function. We evaluated the grading function using human grades as error bounds for “ground truth” grades, and compared the… CONTINUE READING
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