ArticleWorld journal of urology2018
Histopathology: ditch the slides, because digital and 3D are on show.
Article in World journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Advancing three-dimensional tendon imaging using laboratory X-ray phase contrast techniques and refined sample preparation.Scientific reports · 2026Article
- 3D Histology visualizing hypoxia-induced upregulation of N-terminal cysteine using de novo fluorophore generation.Redox biology · 2025Article
- Computational methods and biomarker discovery strategies for spatial proteomics: a review in immuno-oncology.Briefings in bioinformatics · 2024Review
- Automated Analysis of Nuclear Parameters in Oral Exfoliative Cytology Using Machine Learning.Cureus · 2024Article
- Artificial intelligence in renal pathology: Current status and future.Biomolecules & biomedicine · 2023Review
- Non-invasive scoring of cellular atypia in keratinocyte cancers in 3D LC-OCT images using Deep Learning.Scientific reports · 2022Article
- Validation of grading of non-invasive urothelial carcinoma by digital pathology for routine diagnosis.BMC cancer · 2021Article
- Deep learning classification of lung cancer histology using CT images.Scientific reports · 2021Article
- [Application and Progress of Convolutional Neural Network-based Pathological Diagnosis of Gastric Cancer].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021Review
- Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association.Journal of pathology informatics · 2021Article
- Digital pathology and computational image analysis in nephropathology.Nature reviews. Nephrology · 2020Review
- Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.Nature reviews. Clinical oncology · 2019Review
- WHO/ISUP classification, grading and pathological staging of renal cell carcinoma: standards and controversies.World journal of urology · 2018Review
- Evolution of technologies in urology: full steam ahead?World journal of urology · 2018Article
- Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis.Academic pathologyArticle
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Due to the growing field of digital pathology, more and more digital histology slides are becoming available. This improves the accessibility, allows teleconsultations from specialized pathologists, improves education, and might give urologist the possibility to review the slides in patient management systems. Moreover, by stacking multiple two-dimensional (2D) digital slides, three-dimensional volumes can be created, allowing improved insight in the growth pattern of a tumor. With the addition of computer-aided diagnosis systems, pathologist can be guided to regions of interest, potentially reducing the workload and interobserver variation. Digital (3D) pathology has the potential to improve dialog between the pathologist and urologist, and, therefore, results in a better treatment selection for urologic patients.
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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.