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Nucleus classification in histology images using message passing network

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Hassan, Taimur, Javed, Sajid, Mahmood, Arif, Qaiser, Talha, Werghi, Naoufel and Rajpoot, Nasir M. (2022) Nucleus classification in histology images using message passing network. Medical Image Analysis, 79 . 102480. doi:10.1016/j.media.2022.102480

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Official URL: https://doi.org/10.1016/j.media.2022.102480

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Abstract

Identification of nuclear components in the histology landscape is an important step towards developing computational pathology tools for the profiling of tumor micro-environment. Most existing methods for the identification of such components are limited in scope due to heterogeneous nature of the nuclei. Graph-based methods offer a natural way to formulate the nucleus classification problem to incorporate both appearance and geometric locations of the nuclei. The main challenge is to define models that can handle such an unstructured domain. Current approaches focus on learning better features and then employ well-known classifiers for identifying distinct nuclear phenotypes. In contrast, we propose a message passing network that is a fully learnable framework build on classical network flow formulation. Based on physical interaction of the nuclei, a nearest neighbor graph is constructed such that the nodes represent the nuclei centroids. For each edge and node, appearance and geometric features are computed which are then used for the construction of messages utilized for diffusing contextual information to the neighboring nodes. Such an algorithm can infer global information over an entire network and predict biologically meaningful nuclear communities. We show that learning such communities improves the performance of nucleus classification task in histology images. The proposed algorithm can be used as a component in existing state-of-the-art methods resulting in improved nucleus classification performance across four different publicly available datasets.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Science > Computer Science
SWORD Depositor: Library Publications Router
Journal or Publication Title: Medical Image Analysis
Publisher: Elsevier Science BV
ISSN: 1361-8415
Official Date: July 2022
Dates:
DateEvent
July 2022Published
14 May 2022Available
10 May 2022Accepted
Volume: 79
Article Number: 102480
DOI: 10.1016/j.media.2022.102480
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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