Computer Vision in Digital Neuropathology

Cong Cong; Sidong Liu; Antonio Di Ieva; Carlo Russo; Eric Suero Molina; Maurice Pagnucco; Yang Song

doi:10.1007/978-3-031-64892-2_8

Computer Vision in Digital Neuropathology

Adv Exp Med Biol. 2024:1462:123-138. doi: 10.1007/978-3-031-64892-2_8.

Authors

Cong Cong^{1

2

3}, Sidong Liu^{4

5}, Antonio Di Ieva^{5

6

7

8}, Carlo Russo⁵, Eric Suero Molina^{5

9}, Maurice Pagnucco¹⁰, Yang Song¹⁰

Affiliations

¹ School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia. thomas.cong@mq.edu.au.
² Centre for Health Informatics, Macquarie University, Sydney, NSW, Australia. thomas.cong@mq.edu.au.
³ Computational NeuroSurgery Lab, Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia. thomas.cong@mq.edu.au.
⁴ Centre for Health Informatics, Macquarie University, Sydney, NSW, Australia.
⁵ Computational NeuroSurgery Lab, Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia.
⁶ Macquarie Neurosurgery & Spine, MQ Health, Macquarie University Hospital, Sydney, NSW, Australia.
⁷ Department of Neurosurgery, Nepean Blue Mountains Local Health District, Kingswood, NSW, Australia.
⁸ Centre for Applied Artificial Intelligence, School of Computing, Macquarie University, Sydney, NSW, Australia.
⁹ Department of Neurosurgery, University Hospital of Münster, Münster, Germany.
¹⁰ School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia.

PMID: 39523263
DOI: 10.1007/978-3-031-64892-2_8

Abstract

Digital pathology has revolutionized the field of neuropathology, enabling rapid and precise analysis of tissue samples. As neuropathologists and neurosurgeons increasingly embrace digital platforms, computer vision techniques and computerized quantitative analyses (i.e., pathomics) play a pivotal role in automating and enhancing diagnostic processes, as well as in unlocking new insights from neuropathological images. This chapter explores the role of computer vision in bridging the gap between traditional and digital neuropathology, providing a comprehensive overview of computer vision applications in neuropathology, covering image preprocessing, and decision support for clinical tasks, such as early detection of neurological disorders, classification of brain tumors, and quantitative assessment of tissue biomarkers. In addition, we further delve into the challenges and opportunities presented by large-scale image datasets and the integration of digital pathology into neurosurgical practice.

Keywords: Computational histopathology; Computational neuropathology; Computer vision; Digital neuropathology; Image classification; Pathomics; Stain normalization.

Publication types

Review

MeSH terms

Brain Neoplasms / pathology
Humans
Image Interpretation, Computer-Assisted / methods
Image Processing, Computer-Assisted / methods
Nervous System Diseases / diagnosis
Nervous System Diseases / pathology
Neuropathology* / methods