journal article·2024-03-01Open access

Advancing Content-Based Histopathological Image Retrieval Pre-Processing: A Comparative Analysis of the Effects of Color Normalization Techniques

Zahra Tabatabaei, Fernando Pérez Bueno, Adrián Colomer, Javier Oliver Moll, Rafael Molina, Valery Naranjo

Applied Sciences· Volume 14· Issue 5

Abstract

Content-Based Histopathological Image Retrieval (CBHIR) is a search technique based on the visual content and histopathological features of whole-slide images (WSIs). CBHIR tools assist pathologists to obtain a faster and more accurate cancer diagnosis. Stain variation between hospitals hampers the performance of CBHIR tools. This paper explores the effects of color normalization (CN) in a recently proposed CBHIR approach to tackle this issue. In this paper, three different CN techniques were used on the CAMELYON17 (CAM17) data set, which is a breast cancer data set. CAM17 consists of images taken using different staining protocols and scanners in five hospitals. Our experiments reveal that a proper CN technique, which can transfer the color version into the most similar median values, has a positive impact on the retrieval performance of the proposed CBHIR framework. According to the obtained results, using CN as a pre-processing step can improve the accuracy of the proposed CBHIR framework to 97% (a 14% increase), compared to working with the original images.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: AI in cancer detection · Image Retrieval and Classification Techniques · Radiomics and Machine Learning in Medical Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Artificial Intelligence, Tyris Tech S.L., 46021 Valencia, Spain

Instituto Universitario de Investigación en Tecnología Centrada en el Ser Humano, HUMAN-Tech, Universitat Politècnica de València, 46022 Valencia, Spain

Basque Center on Cognition, Brain and Language, 20009 San Sebastián, Spain

Department of Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, 18071 Granada, Spain

Funding

European Union’s Horizon · Ayuda a Primeros Proyectos de Investigación · Vicerrectorado de Investigacion de la Universitat Politecnica de Valencia (UPV)

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