ArticleJournal of imaging2021
Deep Learning in Medical Image Analysis.
Article in Journal of imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review and Identification of the Challenges of Deep Learning Techniques for Undersampled Magnetic Resonance Image Reconstruction.Sensors (Basel, Switzerland) · 2024Pooled it
- Segmenting scaffolds with ingrown bone in micro-CT images: considerations of evaluation metrics and loss functions.Medical & biological engineering & computing · 2026Article
- Automated Detection and Segmentation of Ascending Aorta Dilation on a Non-ECG-Gated Chest CT Using Deep Learning.Diagnostics (Basel, Switzerland) · 2025Article
- An interpretable clinical-radiomics-deep learning model based on magnetic resonance imaging for predicting postoperative Gleason grading in prostate cancer: a dual-center study.Frontiers in oncology · 2025Article
- Perspectives in transvaginal sonography for the diagnosis of adenomyosis.Frontiers in medicine · 2025Article
- IMPA-Net: Interpretable Multi-Part Attention Network for Trustworthy Brain Tumor Classification from MRI.Diagnostics (Basel, Switzerland) · 2024Article
- Deep learning-driven ultrasound-assisted diagnosis: optimizing GallScopeNet for precise identification of biliary atresia.Frontiers in medicine · 2024Article
- Deep Learning-Based Prediction of Alzheimer's Disease Using Microarray Gene Expression Data.Biomedicines · 2023Article
- Deep Learning and Vision Transformer for Medical Image Analysis.Journal of imaging · 2023Article
- Cooktop Sensing Based on a YOLO Object Detection Algorithm.Sensors (Basel, Switzerland) · 2023Article
- Medical image analysis using deep learning algorithms.Frontiers in public health · 2023Review
- Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning.Sensors (Basel, Switzerland) · 2022Article
- Detection of lesions in the optic nerve with magnetic resonance imaging using a 3D convolutional neural network.NeuroImage. Clinical · 2022Article
- MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique.Frontiers in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over recent years, deep learning (DL) has established itself as a powerful tool across a broad spectrum of domains in imaging-e [...].
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.