ReviewJournal of pathology informatics2022
Software tools and platforms in Digital Pathology: a review for clinicians and computer scientists.
Review in Journal of pathology informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Article
- A high-precision hierarchical registration approach for stain- and scanner-independent colocalization on whole slide images in histopathology.Health information science and systems · 2025Article
- Digital neuropathology of neurodegenerative disorders: Foundations, research advances, and future directions.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- The Rise of AI-Assisted Diagnosis: Will Pathologists Be Partners or Bystanders?Diagnostics (Basel, Switzerland) · 2025Review
- Advancing open-source visual analytics in digital pathology: A systematic review of tools, trends, and clinical applications.Journal of pathology informatics · 2025Review
- Development and validation of a pathomics model for accurate grading of pancreatic neuroendocrine tumors.NPJ precision oncology · 2025Article
- Evaluation of radiation-induced bone marrow toxicity using artificial intelligence-based image analysis in mice.Toxicological research · 2025Article
- Advances and challenges in pathomics for liver cancer: From diagnosis to prognostic stratification.World journal of clinical oncology · 2025Review
- QuPath Edu and OpenMicroanatomy: Open-source virtual microscopy tools for medical education.Journal of anatomy · 2025Article
- Integrative co-registration of elemental imaging and histopathology for enhanced spatial multimodal analysis of tissue sections through TRACE.Bioinformatics advances · 2025Article
- Quantifying Competitive Fitness in Yeast with High-Throughput Fluorescence Microscopy Imaging.Current protocols · 2025Article
- Innovative approach for the qualitative-quantitative assessment of neurodevelopment biomarkers research in placenta tissue using immunohistochemistry digital image analysis.Biology methods & protocols · 2025Article
- Advancements in pathology: Digital transformation, precision medicine, and beyond.Journal of pathology informatics · 2025Review
- Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative.Journal of pathology informatics · 2024Review
- Quantification of follicles in human ovarian tissue using image processing software and trained artificial intelligence†.Biology of reproduction · 2024Article
- Spatial Multiplexing and Omics.Nature reviews. Methods primers · 2024Article
- Predicting peritoneal recurrence in gastric cancer with serosal invasion using a pathomics nomogram.iScience · 2023Article
- Digital slide sets for teaching and learning: what do trainees and teachers think? A questionnaire study at an academic medical centre.Academic pathologyArticle
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At the end of the twentieth century, a new technology was developed that allowed an entire tissue section to be scanned on an objective slide. Originally called virtual microscopy, this technology is now known as Whole Slide Imaging (WSI). WSI presents new challenges for reading, visualization, storage, and analysis. For this reason, several technologies have been developed to facilitate the handling of these images. In this paper, we analyze the most widely used technologies in the field of digital pathology, ranging from specialized libraries for the reading of these images to complete platforms that allow reading, visualization, and analysis. Our aim is to provide the reader, whether a pathologist or a computational scientist, with the knowledge to choose the technologies to use for new studies, development, or research.
Indexed as
Identifiers
What OpenQuestion holds
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.