A discriminant multi-scale histopathology descriptor using dictionary learning

David Romo; Juan D. García-Arteaga; Pablo Arbeláez; Eduardo Romero

doi:10.1117/12.2043935

20 March 2014 A discriminant multi-scale histopathology descriptor using dictionary learning

David Romo, Juan D. García-Arteaga, Pablo Arbeláez, Eduardo Romero

Proceedings Volume 9041, Medical Imaging 2014: Digital Pathology; 90410Q (2014) https://doi.org/10.1117/12.2043935
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

When examining a histological sample, an expert must not only identify structures at different scale and conceptual levels, i.e. cellular, tissular and organic, but also recognize and integrate the visual cues of specific pathologies and histological concepts such as “gland", “carcinoma" or “collagen". It is necessary then to code the texture and color so that the relevant information present at different scales is emphasized and preserved. In this article we propose a novel multi-scale image descriptor using dictionaries that learn and code discriminant visual elements associated with specific histological concepts. The dictionaries are built separately for each concept using sparse coding algorithms. The descriptor's discrimination capacity is evaluated using a naive strategy that assigns a particular image to the class best represented by a particular dictionary. Results show how, even using this very simple approach, average recall and precision measures of 0.81 and 0.86 were obtained for the challenging problem of classifying epidermis, eccrine glands, hair follicle and nodular carcinoma in basal skin carcinoma images.

Citation Download Citation

David Romo, Juan D. García-Arteaga, Pablo Arbeláez, and Eduardo Romero "A discriminant multi-scale histopathology descriptor using dictionary learning", Proc. SPIE 9041, Medical Imaging 2014: Digital Pathology, 90410Q (20 March 2014); https://doi.org/10.1117/12.2043935

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available