ArticleFrontiers in neurorobotics2022
Improved Feature Point Pair Purification Algorithm Based on SIFT During Endoscope Image Stitching.
Article in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 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
41 citing papers in PubMed.
- Three-dimensional reconstruction of densely planted rice seedlings based on MultiView images.Plant phenomics (Washington, D.C.) · 2025Article
- Enhancing Predictive Accuracy for Recurrence-Free Survival in Head and Neck Tumor: A Comparative Study of Weighted Fusion Radiomic Analysis.Diagnostics (Basel, Switzerland) · 2024Article
- Polymeric nanoparticles delivery circumvents bacterial resistance to ciprofloxacin.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024Article
- Learning-based keypoint registration for fetoscopic mosaicking.International journal of computer assisted radiology and surgery · 2024Article
- Development of a Machine Learning Algorithm to Correlate Lumbar Disc Height on X-rays with Disc Bulging or Herniation.Diagnostics (Basel, Switzerland) · 2024Article
- Employing Xception convolutional neural network through high-precision MRI analysis for brain tumor diagnosis.Frontiers in medicine · 2024Article
- Redefining retinal vessel segmentation: empowering advanced fundus image analysis with the potential of GANs.Frontiers in medicine · 2024Article
- A big data analysis algorithm for massive sensor medical images.PeerJ. Computer science · 2024Article
- Article
- Adaptive feature extraction method for capsule endoscopy images.Visual computing for industry, biomedicine, and art · 2023Article
- Usage of computational method for hemodynamic analysis of intracranial aneurysm rupture risk in different geometrical aspects.Scientific reports · 2023Article
- Influence of parent vessel feature on the risk of internal carotid artery aneurysm rupture via computational method.Scientific reports · 2023Article
- Computational and statistical analyses of blood hemodynamic inside cerebral aneurysms for treatment evaluation of endovascular coiling.Scientific reports · 2023Article
- Early Detection of Lung Nodules Using a Revolutionized Deep Learning Model.Diagnostics (Basel, Switzerland) · 2023Article
- The epidemiology of canine ear diseases in Northwest China: Analysis of data on 221 dogs from 2012 to 2016.Veterinary world · 2023Article
- Improving Prediction of Cervical Cancer Using KNN Imputed SMOTE Features and Multi-Model Ensemble Learning Approach.Cancers · 2023Article
- Deploying efficient net batch normalizations (BNs) for grading diabetic retinopathy severity levels from fundus images.Scientific reports · 2023Article
- SDE-YOLO: A Novel Method for Blood Cell Detection.Biomimetics (Basel, Switzerland) · 2023Article
- Detection of Alzheimer's Disease Based on Cloud-Based Deep Learning Paradigm.Diagnostics (Basel, Switzerland) · 2023Article
- Vessel Delineation Using U-Net: A Sparse Labeled Deep Learning Approach for Semantic Segmentation of Histological Images.Cancers · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endoscopic imaging plays a very important role in the diagnosis and treatment of lesions. However, the imaging range of endoscopes is small, which may affect the doctors' judgment on the scope and details of lesions. Image mosaic technology can solve the problem well. In this paper, an improved feature-point pair purification algorithm based on SIFT (Scale invariant feature transform) is proposed. Firstly, the K-nearest neighbor-based feature point matching algorithm is used for rough matching. Then RANSAC (Random Sample Consensus) method is used for robustness tests to eliminate mismatched point pairs. The mismatching rate is greatly reduced by combining the two methods. Then, the image transformation matrix is estimated, and the image is determined. The seamless mosaic of endoscopic images is completed by matching the relationship. Finally, the proposed algorithm is verified by real endoscopic image and has a good effect.
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.