ArticleJournal of medical systems2019
Tumor Budding Detection System in Whole Slide Pathology Images.
Article in Journal of medical systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 17 citations in OpenAlex.
- From biology to morphology and treatment: the current role of pathology in penile cancer - a narrative review.Frontiers in oncology · 2026Review
- A full-automated tumor budding annotation approach in hematoxylin and eosin-stained whole slide images of colorectal cancer.NPJ precision oncology · 2025Article
- Few-shot Tumor Bud Segmentation Using Generative Model in Colorectal Carcinoma.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Adapting SAM to Histopathology Images for Tumor Bud Segmentation in Colorectal Cancer.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Predictive value of tumor budding in head and neck squamous cell carcinoma: an update.Virchows Archiv : an international journal of pathology · 2023Review
- Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer.Cancers · 2023Article
- Article
- Tumour budding in solid cancers.Nature reviews. Clinical oncology · 2021Review
- Interobserver Variability in the Assessment of Tumor Budding in pT 3/4 Colon Cancer: Improvement by Supporting Immunohistochemistry?Diagnostics (Basel, Switzerland) · 2020Article
- Tumour budding and its clinical implications in gastrointestinal cancers.British journal of cancer · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Tumor budding is defined as the presence of single tumor cells or small tumor clusters (less than five cells) that 'bud' from the invasive front of the main tumor. Tumor budding (TB) has recently emerged as an important adverse prognostic factor for many different cancer types. In colorectal carcinoma (CRC), tumor budding has been independently associated with lymph node metastasis and poor outcome. Pathologic assessment of tumor budding by light microscopy requires close evaluation of tumor invasive front on intermediate to high power magnification, entailing locating the 'hotspot' of tumor budding, counting all TB in one high power field, and generating a tumor budding score. By automating these time-consuming tasks, computer-assisted image analysis tools can be helpful for daily pathology practice, since tumor budding reporting is now recommended on select cases. In this paper, we report our work on the development of a tumor budding detection system in CRC from whole-slide Cytokeratin AE1/3 images, based on de novo computer algorithm that automates morphometric analysis of tumor budding.
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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.