mlsanityData to 14 Oct 2026

Comments on 'Fast and scalable search of whole-slide images via self-supervised deep learning'

arXiv 2304.08297 ↗First posted 7 Apr 2023eess.IV cs.CV cs.LGcited by 5

Not on the map. Why?

Abstract (arXiv)

Chen et al. [Chen2022] recently published the article 'Fast and scalable search of whole-slide images via self-supervised deep learning' in Nature Biomedical Engineering. The authors call their method 'self-supervised image search for histology', short SISH. We express our concerns that SISH is an incremental modification of Yottixel, has used MinMax binarization but does not cite the original works, and is based on a misnomer 'self-supervised image search'. As well, we point to several other concerns regarding experiments and comparisons performed by Chen et al.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 4 of its 9 references that are in the map. First posted on arXiv 7 Apr 2023.

Builds on

4 of 9 references.

References · 4

  1. 2019Yottixel -- An Image Search Engine for Large Archives of Histopathology Whole Slide Imagescited by 41
  2. 2019Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligencecited by 26
  3. 2016MinMax Radon Barcodes for Medical Image Retrievalcited by 9
  4. 2018Deep Barcodes for Fast Retrieval of Histopathology Scanscited by 9

Built on by

Cited by year

Citing papers per year: 2023: 3; 2024: 2.

5 papers.