Computer Vision in Digital Neuropathology.

Adv Exp Med Biol

School of Computer Science and Engineering, University of New South Wales, Sydney, NSW, Australia.

Published: November 2024

AI Article Synopsis

  • Digital pathology has transformed neuropathology by allowing quick and accurate examination of tissue samples using digital platforms.* -
  • The chapter discusses how computer vision techniques improve diagnostic processes in neuropathology, including early detection of disorders and tumor classification.* -
  • It also addresses the challenges and opportunities related to large image datasets and the integration of digital pathology into neurosurgery.*

Article 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.

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Source
http://dx.doi.org/10.1007/978-3-031-64892-2_8DOI Listing

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