Are Stronger Feature Representations All You Need for Histology Image Search?-Reference-Cited by-同舟云学术

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Are Stronger Feature Representations All You Need for Histology Image Search?

Published:2024-04-25 Issue:5 Volume:1 Page:
ISSN:2836-9386
Container-title:NEJM AI
language:en
Short-container-title:NEJM AI

Author:

Chen Richard J.¹²³⁴⁵^ORCID,Mahmood Faisal¹²³⁴^ORCID

Affiliation:

1. Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston

2. Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston

3. Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA

4. Cancer Data Science Program, Dana-Farber Cancer Institute, Boston

5. Department of Biomedical Informatics, Harvard Medical School, Boston

Publisher

Massachusetts Medical Society

Reference15 articles.

1. Visual pattern mining in histology image collections using bag of features

2. Yottixel – An Image Search Engine for Large Archives of Histopathology Whole Slide Images

3. Fast and scalable search of whole-slide images via self-supervised deep learning

4. RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval

5. High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing

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