María P. Trujillo

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We propose a novel classification framework called the video-specific SVM (V-SVM) for normal-vs-abnormal white-light colonoscopy image classification. V-SVM is an ensemble of linear SVMs, with each trained to separate the abnormal images in a particular video from all the normal images in all the videos. Since V-SVM is designed to capture lesion-specific(More)
—Char classification pr ocess is based on morphological char acter istics, such as: numb er of por es, distr ibution of por es and wall thickness. Ap proximately, five hundred images have to be analysed in order to classify a char sample. Frequently, these images have h igh spatial r esolution, 1300 x 1030 píxels, and intensity levels ar e represented using(More)
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