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6 Tecnología ciencias aplicadas - Technology

Histopathological images are an important resource for clinical diagnosis and biomedical research. From an image understanding point of view, the automatic annotation of these images is a challenging problem. This paper presents a new method for automatic histopathological image annotation based on three complementary strategies, first, a part-based image representation, called the bag of features, which takes advantage of the natural redundancy of histopathological images for capturing the fundamental patterns of biological structures, second, a latent topic model, based on non-negative matrix factorization, which captures the high-level visual patterns hidden in the image, and, third, a probabilistic annotation model that links visual appearance of morphological and architectural features associated to 10 histopathological image annotations. The method was evaluated using 1,604 annotated images of skin tissues, which included normal and pathological architectural and morphological features, obtaining a recall of 74% and a precision of 50%, which improved a baseline annotation method based on support vector machines in a 64% and 24%, respectively.

Tipo de documento: Artículo - Article

Palabras clave: Basal Cell Carcinoma; Histopathology Images; Automatic Annotation; Visual Latent Semantic Analysis; Non-negative Matrix Factorization; Bag of Features

Temática: 6 Tecnología ciencias aplicadas - Technology6 Tecnología ciencias aplicadas - Technology 61 Ciencias médicas; Medicina - Medicine and health





Source: http://www.bdigital.unal.edu.co


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Journal of Pathology Informatics Official Publication of Association for Pathology Informatics  April-June 2010  Volume 1  Issue 1 CONTENTS Editorial Introducing the Journal of Pathology Informatics Liron Pantanowitz, Anil V.
Parwani.
1 Original Articles Development and use of a genitourinary pathology digital teaching set for trainee education Li Li, Bryan J.
Dangott, Anil V.
Parwani.
2 Overview of laboratory data tools available in a single electronic medical record Neil R.
Kudler, Liron Pantanowitz.
3 Cytologic evaluation of image-guided fine needle aspiration biopsies via robotic microscopy: A validation study Guoping Cai, Lisa A.
Teot, Walid E.
Khalbuss, Jing Yu, Sara E.
Monaco, Drazen M.
Jukic, Anil V.
Parwani.
4 Technical Note Stepwise approach to establishing multiple outreach laboratory information system–electronic medical record interfaces1 Liron Pantanowitz,Wayne LaBranche,William Lareau.
5 J Pathol Inform Editor-in-Chief: Anil V.
Parwani , Liron Pantanowitz, Pittsburgh, PA, USA Pittsburgh, PA, USA OPEN ACCESS HTML format For entire Editorial Board visit : www.jpathinformatics.org-editorialboard.asp Symposium - Original Research Automatic annotation of histopathological images using a latent topic model based on non-negative matrix factorization Angel Cruz-Roa, Gloria Díaz, Eduardo Romero, Fabio A.
González BioIngenium Research Group, Faculty of Engineering and School of Medicine, Universidad Nacional d...






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