ArticleMultimedia tools and applications2022
Towards a better understanding of annotation tools for medical imaging: a survey.
Article in Multimedia tools and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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33 citing papers in PubMed, 97 citations in OpenAlex.
- Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2.IEEE transactions on medical imaging · 2026Article
- Automated detection and segmentation of Weiss ring in fundus photography images using deep learning.Scientific reports · 2026Article
- Comparison of Manual, Semi-Automatic, and Automatic CT-Based Methods for Liver Volume Segmentation.Diagnostics (Basel, Switzerland) · 2026Article
- Data annotation and its evaluation in artificial intelligence-based anatomy recognition for ultrasound-guided regional anesthesia: a clinical perspective.Frontiers in medicine · 2026Article
- AI-Based 3D Liver Segmentation and Volumetric Analysis in Living Donor Data.Journal of imaging informatics in medicine · 2025Article
- DCS-NET: a multi-task model for uterine ROI detection and automatic staging of early endometrial cancer in MRI.Scientific reports · 2025Article
- Analysis of intra- and inter-observer variability in 4D liver ultrasound landmark labeling.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Deep manifold learning reveals hidden developmental dynamics of a human embryo model.Science advances · 2025Article
- Visual WetlandBirds Dataset: Bird Species Identification and Behavior Recognition in Videos.Scientific data · 2025Article
- ELD-YOLO: A Lightweight Framework for Detecting Occluded Mandarin Fruits in Plant Research.Plants (Basel, Switzerland) · 2025Article
- Deep learning-based intraoperative visual guidance model for ureter identification in laparoscopic sigmoidectomy.Surgical endoscopy · 2025Article
- High-precision pest and disease detection in greenhouses using the novel IM-AlexNet framework.NPJ science of food · 2025Article
- From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities.PLOS digital health · 2025Article
- AI-Powered Object Detection in Radiology: Current Models, Challenges, and Future Direction.Journal of imaging · 2025Review
- Time-to-Event Pretraining for 3D Medical Imaging.... International Conference on Learning Representations · 2025Article
- A Radiologist's Perspective of Medical Annotations for AI Programs: The Entire Journey from Its Planning to Execution, Challenges Faced.The Indian journal of radiology & imaging · 2025Review
- AI Efficiency in Dentistry: Comparing Artificial Intelligence Systems with Human Practitioners in Assessing Several Periodontal Parameters.Medicina (Kaunas, Lithuania) · 2025Article
- Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data.Communications medicine · 2025Article
- The Medical Segmentation Decathlon without a Doctorate.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Real-Time Ultrasound Diagnosis of Developmental Dysplasia of the Hip Using an Attention-Enhanced YOLOv11 Model.International journal of medical sciences · 2025Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medical imaging refers to several different technologies that are used to view the human body to diagnose, monitor, or treat medical conditions. It requires significant expertise to efficiently and correctly interpret the images generated by each of these technologies, which among others include radiography, ultrasound, and magnetic resonance imaging. Deep learning and machine learning techniques provide different solutions for medical image interpretation including those associated with detection and diagnosis. Despite the huge success of deep learning algorithms in image analysis, training algorithms to reach human-level performance in these tasks depends on the availability of large amounts of high-quality training data, including high-quality annotations to serve as ground-truth. Different annotation tools have been developed to assist with the annotation process. In this survey, we present the currently available annotation tools for medical imaging, including descriptions of graphical user interfaces (GUI) and supporting instruments. The main contribution of this study is to provide an intensive review of the popular annotation tools and show their successful usage in annotating medical imaging dataset to guide researchers in this area.
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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.