Trial reportJournal of medical imaging (Bellingham, Wash.)2020
Deep-learning-based model observer for a lung nodule detection task in computed tomography.
Trial report in Journal of medical imaging (Bellingham, Wash.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 17 citations in OpenAlex.
- CT Radiation Dose Reduction With Preserved Diagnostic Performance: How Far Have We Come Over 25 Years?AJR. American journal of roentgenology · 2026Review
- Deep learning in CT image reconstruction and processing: techniques, performance evaluation, radiation dose, and future perspective.The British journal of radiology · 2025Review
- Convolutional neural network model observers discount signal-like anatomical structures during search in virtual digital breast tomosynthesis phantoms.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Improving low-contrast liver metastasis detectability in deep-learning CT denoising using adaptive local fusion driven by total uncertainty and predictive mean.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- A deep learning anthropomorphic model observer for a detection task in PET.Medical physics · 2024Article
- UNet and MobileNet CNN-based model observers for CT protocol optimization: comparative performance evaluation by means of phantom CT images.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Deep learning enabled ultra-fast-pitch acquisition in clinical X-ray computed tomography.Medical physics · 2021Article
- Random Search as a Neural Network Optimization Strategy for Convolutional-Neural-Network (CNN)-based Noise Reduction in CT.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Deep-learning lesion and noise insertion for virtual clinical trial in Chest CT.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
Abstract
PubMed holds no abstract for this paper.
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.