ArticleJournal of pathology informatics2019
Deep Learning-Based Retrieval System for Gigapixel Histopathology Cases and the Open Access Literature.
Article in Journal of pathology informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Web engine for tumor pathology image retrievals on massive scales.bioRxiv : the preprint server for biology · 2025Article
- Advancing open-source visual analytics in digital pathology: A systematic review of tools, trends, and clinical applications.Journal of pathology informatics · 2025Review
- Multimodal Gated Mixture of Experts Using Whole Slide Image and Flow Cytometry for Multiple Instance Learning Classification of Lymphoma.Journal of pathology informatics · 2024Article
- Cross-modality sub-image retrieval using contrastive multimodal image representations.Scientific reports · 2024Article
- Synergies and Challenges in the Preclinical and Clinical Implementation of Pathology Artificial Intelligence Applications.Mayo Clinic proceedings. Digital health · 2023Review
- Biased data, biased AI: deep networks predict the acquisition site of TCGA images.Diagnostic pathology · 2023Article
- Fast and scalable search of whole-slide images via self-supervised deep learning.Nature biomedical engineering · 2022Article
- Classification of Mouse Lung Metastatic Tumor with Deep Learning.Biomolecules & therapeutics · 2022Article
- Software tools and platforms in Digital Pathology: a review for clinicians and computer scientists.Journal of pathology informatics · 2022Review
- Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.BMC medical imaging · 2021Article
- SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning.Scientific reports · 2020Article
- Intraoperative frozen section consultation by remote whole-slide imaging analysis -validation and comparison to robotic remote microscopy.Journal of clinical pathology · 2020Article
- Similar image search for histopathology: SMILY.NPJ digital medicine · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe introduction of digital pathology into clinical practice has led to the development of clinical workflows with digital images, in connection with pathology reports. Still, most of the current work is time-consuming manual analysis of image areas at different scales. Links with data in the biomedical literature are rare, and a need for search based on visual similarity within whole slide images (WSIs) exists.
objectivesThe main objective of the work presented is to integrate content-based visual retrieval with a WSI viewer in a prototype. Another objective is to connect cases analyzed in the viewer with cases or images from the biomedical literature, including the search through visual similarity and text.
methodsAn innovative retrieval system for digital pathology is integrated with a WSI viewer, allowing to define regions of interest (ROIs) in images as queries for finding visually similar areas in the same or other images and to zoom in/out to find structures at varying magnification levels. The algorithms are based on a multimodal approach, exploiting both text information and content-based image features.
resultsThe retrieval system allows viewing WSIs and searching for regions that are visually similar to manually defined ROIs in various data sources (proprietary and public datasets, e.g., scientific literature). The system was tested by pathologists, highlighting its capabilities and suggesting ways to improve it and make it more usable in clinical practice.
conclusionsThe developed system can enhance the practice of pathologists by enabling them to use their experience and knowledge to control artificial intelligence tools for navigating repositories of images for clinical decision support and teaching, where the comparison with visually similar cases can help to avoid misinterpretations. The system is available as open source, allowing the scientific community to test, ideate and develop similar systems for research and clinical practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.