On image search in histopathology
Pathology images of histopathology can be acquired from camera-mounted microscopes or whole-slide scanners. Utilizing similarity calculations to match patients based on these images holds significant potential in research and clinical contexts. Recent advancements in search technologies allow for im...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Journal of Pathology Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2153353924000142 |
| _version_ | 1826932923630092288 |
|---|---|
| author | H.R. Tizhoosh Liron Pantanowitz |
| author_facet | H.R. Tizhoosh Liron Pantanowitz |
| author_sort | H.R. Tizhoosh |
| collection | DOAJ |
| description | Pathology images of histopathology can be acquired from camera-mounted microscopes or whole-slide scanners. Utilizing similarity calculations to match patients based on these images holds significant potential in research and clinical contexts. Recent advancements in search technologies allow for implicit quantification of tissue morphology across diverse primary sites, facilitating comparisons, and enabling inferences about diagnosis, and potentially prognosis, and predictions for new patients when compared against a curated database of diagnosed and treated cases. In this article, we comprehensively review the latest developments in image search technologies for histopathology, offering a concise overview tailored for computational pathology researchers seeking effective, fast, and efficient image search methods in their work. |
| first_indexed | 2024-04-24T08:12:31Z |
| format | Article |
| id | doaj.art-1fe7609f8a6e4cd6860d5b238219fa8d |
| institution | Directory Open Access Journal |
| issn | 2153-3539 |
| language | English |
| last_indexed | 2025-02-17T17:23:31Z |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Pathology Informatics |
| spelling | doaj.art-1fe7609f8a6e4cd6860d5b238219fa8d2024-12-15T06:15:14ZengElsevierJournal of Pathology Informatics2153-35392024-12-0115100375On image search in histopathologyH.R. Tizhoosh0Liron Pantanowitz1Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA; Corresponding author.Department of Pathology, School of Medicine, University of Pittsburgh, PA, USAPathology images of histopathology can be acquired from camera-mounted microscopes or whole-slide scanners. Utilizing similarity calculations to match patients based on these images holds significant potential in research and clinical contexts. Recent advancements in search technologies allow for implicit quantification of tissue morphology across diverse primary sites, facilitating comparisons, and enabling inferences about diagnosis, and potentially prognosis, and predictions for new patients when compared against a curated database of diagnosed and treated cases. In this article, we comprehensively review the latest developments in image search technologies for histopathology, offering a concise overview tailored for computational pathology researchers seeking effective, fast, and efficient image search methods in their work.http://www.sciencedirect.com/science/article/pii/S2153353924000142Information retrievalImage searchWhole-slide imagesComputational pathology |
| spellingShingle | H.R. Tizhoosh Liron Pantanowitz On image search in histopathology Journal of Pathology Informatics Information retrieval Image search Whole-slide images Computational pathology |
| title | On image search in histopathology |
| title_full | On image search in histopathology |
| title_fullStr | On image search in histopathology |
| title_full_unstemmed | On image search in histopathology |
| title_short | On image search in histopathology |
| title_sort | on image search in histopathology |
| topic | Information retrieval Image search Whole-slide images Computational pathology |
| url | http://www.sciencedirect.com/science/article/pii/S2153353924000142 |
| work_keys_str_mv | AT hrtizhoosh onimagesearchinhistopathology AT lironpantanowitz onimagesearchinhistopathology |