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Electrical Engineering and Systems Science > Image and Video Processing

arXiv:2306.17019 (eess)
[Submitted on 29 Jun 2023 (v1), last revised 4 Jan 2024 (this version, v2)]

Title:Histopathology Slide Indexing and Search: Are We There Yet?

Authors:Helen H. Shang, Mohammad Sadegh Nasr, Jai Prakash Veerla, Parisa Boodaghi Malidarreh, MD Jillur Rahman Saurav, Amir Hajighasemi, Manfred Huber, Chace Moleta, Jitin Makker, Jacob M. Luber
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Abstract:The search and retrieval of digital histopathology slides is an important task that has yet to be solved. In this case study, we investigate the clinical readiness of three state-of-the-art histopathology slide search engines, Yottixel, SISH, and RetCCL, on three patients with solid tumors. We provide a qualitative assessment of each model's performance in providing retrieval results that are reliable and useful to pathologists. We found that all three image search engines fail to produce consistently reliable results and have difficulties in capturing granular and subtle features of malignancy, limiting their diagnostic accuracy. Based on our findings, we also propose a minimal set of requirements to further advance the development of accurate and reliable histopathology image search engines for successful clinical adoption.
Subjects: Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV); Tissues and Organs (q-bio.TO)
Cite as: arXiv:2306.17019 [eess.IV]
  (or arXiv:2306.17019v2 [eess.IV] for this version)
  https://doi.org/10.48550/arXiv.2306.17019

Submission history

From: Jacob Luber [view email]
[v1] Thu, 29 Jun 2023 15:11:20 UTC (1,439 KB)
[v2] Thu, 4 Jan 2024 22:54:18 UTC (5,444 KB)
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