ArticleTheScientificWorldJournal2014
Ratsnake: a versatile image annotation tool with application to computer-aided diagnosis.
Article in TheScientificWorldJournal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 50 citations in OpenAlex.
- Towards a secure cloud repository architecture for the continuous monitoring of patients with mental disorders.Frontiers in digital health · 2025Article
- A Semi-Automatic Magnetic Resonance Imaging Annotation Algorithm Based on Semi-Weakly Supervised Learning.Sensors (Basel, Switzerland) · 2024Article
- Polypoid Lesion Segmentation Using YOLO-V8 Network in Wireless Video Capsule Endoscopy Images.Diagnostics (Basel, Switzerland) · 2024Article
- Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans.BMC medical imaging · 2023Article
- Annotation Tools in Gastrointestinal Polyp Annotation.Diagnostics (Basel, Switzerland) · 2022Review
- Machine Learning for Renal Pathologies: An Updated Survey.Sensors (Basel, Switzerland) · 2022Review
- Towards a better understanding of annotation tools for medical imaging: a survey.Multimedia tools and applications · 2022Article
- GTCreator: a flexible annotation tool for image-based datasets.International journal of computer assisted radiology and surgery · 2019Article
- KID Project: an internet-based digital video atlas of capsule endoscopy for research purposes.Endoscopy international open · 2017Article
- Efficacy Evaluation of SAVE for the Diagnosis of Superficial Neoplastic Lesion.IEEE journal of translational engineering in health and medicine · 2017Article
- Software for enhanced video capsule endoscopy: challenges for essential progress.Nature reviews. Gastroenterology & hepatology · 2015Review
- Computer-assisted segmentation of videocapsule images using alpha-divergence-based active contour in the framework of intestinal pathologies detection.International journal of biomedical imaging · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Image segmentation and annotation are key components of image-based medical computer-aided diagnosis (CAD) systems. In this paper we present Ratsnake, a publicly available generic image annotation tool providing annotation efficiency, semantic awareness, versatility, and extensibility, features that can be exploited to transform it into an effective CAD system. In order to demonstrate this unique capability, we present its novel application for the evaluation and quantification of salient objects and structures of interest in kidney biopsy images. Accurate annotation identifying and quantifying such structures in microscopy images can provide an estimation of pathogenesis in obstructive nephropathy, which is a rather common disease with severe implication in children and infants. However a tool for detecting and quantifying the disease is not yet available. A machine learning-based approach, which utilizes prior domain knowledge and textural image features, is considered for the generation of an image force field customizing the presented tool for automatic evaluation of kidney biopsy images. The experimental evaluation of the proposed application of Ratsnake demonstrates its efficiency and effectiveness and promises its wide applicability across a variety of medical imaging domains.
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.