On the public citation graph
Local Contralateral Subtraction Based on Bilateral Symmetry of Lung for Reduction of False Positives in Computerized Detection of Pulmonary Nodules
0 signed · 56 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-0258(19980515)17:9<1033::aid-sim784>3.0.co;2-zopenalex-snapshot
Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data
inferredcites →https://doi.org/10.1007/bf03168418openalex-snapshot
Automatic lung nodule detection using profile matching and back-propagation neural network techniques
inferredcites →https://doi.org/10.1016/s1076-6332(97)80005-0openalex-snapshot
Fractal texture analysis in computer-aided diagnosis of solitary pulmonary nodules
inferredcites →https://doi.org/10.1016/s1361-8415(02)00064-6openalex-snapshot
Computerized detection of pulmonary nodules in chest radiographs based on morphological features and wavelet snake model
inferredcites →https://doi.org/10.1093/oso/9780198555520.003.0001openalex-snapshot
Statistical Inference
inferredcites →https://doi.org/10.1097/00004424-198605000-00003openalex-snapshot
Computerized Search of Chest Radiographs for Nodules
inferredcites →https://doi.org/10.1097/00004424-199208000-00006openalex-snapshot
Image Feature Analysis of False-Positive Diagnoses Produced by Automated Detection of Lung Nodules
inferredcites →https://doi.org/10.1109/42.476112openalex-snapshot
Artificial convolution neural network techniques and applications for lung nodule detection
inferredcites →https://doi.org/10.1109/42.746620openalex-snapshot
Computer-aided diagnosis: a neural-network-based approach to lung nodule detection
inferredcites →https://doi.org/10.1117/1.1526496openalex-snapshot
Multiscale edge-guided wavelet snake model for delineation of pulmonary nodules in chest radiographs
inferredcites →https://doi.org/10.1118/1.596247openalex-snapshot
Image feature analysis and computer‐aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields
inferredcites →https://doi.org/10.1118/1.597216openalex-snapshot
Computerized detection of abnormal asymmetry in digital chest radiographs
inferredcites →https://doi.org/10.1118/1.597308openalex-snapshot
Digital image subtraction of temporally sequential chest images for detection of interval change
inferredcites →https://doi.org/10.1118/1.597738openalex-snapshot
Image feature analysis for computer-aided diagnosis: Detection of right and left hemidiaphragm edges and delineation of lung field in chest radiographs
inferredcites →https://doi.org/10.1118/1.598028openalex-snapshot
Development of an improved CAD scheme for automated detection of lung nodules in digital chest images
inferredcites →https://doi.org/10.1118/1.598388openalex-snapshot
Computer‐aided diagnoses: Automatic detection of lung nodules
inferredcites →https://doi.org/10.1137/0915014openalex-snapshot
A Nonlinear Variational Problem for Image Matching
inferredcites →https://doi.org/10.1145/146370.146374openalex-snapshot
A survey of image registration techniques
inferredcites →https://doi.org/10.1148/radiographics.10.1.2296696openalex-snapshot
Pulmonary nodules: computer-aided detection in digital chest images.
inferredcites →https://doi.org/10.1148/radiology.199.3.8638015openalex-snapshot
Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.
inferredcites →https://doi.org/10.1148/radiology.202.2.9015072openalex-snapshot
Digital chest radiography: effect of temporal subtraction images on detection accuracy.
inferredcites →https://doi.org/10.1148/radiology.213.3.r99dc27723openalex-snapshot
Computer-aided Diagnosis of Pulmonary Nodules: Results of a Large-Scale Observer Test
inferredcites →https://doi.org/10.1177/216507996801601208openalex-snapshot
1969 Cancer Facts and Figures
inferredcites →https://doi.org/10.3233/ica-2000-7306openalex-snapshot
Bayesian wavelet snake for computer-aided diagnosis of lung nodules
inferredcites →https://doi.org/10.5860/choice.30-5638openalex-snapshot
Numerical recipes in C: the art of scientific computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/mp.12127openalex-snapshot
Fast and effective quantification of symmetry in medical images for pathology detection: Application to chest radiography
inferred← citeshttps://doi.org/10.1007/11867661_55openalex-snapshot
A Multiclassifier Approach for Lung Nodule Classification
inferred← citeshttps://doi.org/10.1007/978-3-540-72849-8_22openalex-snapshot
Detection of Lung Nodule Candidates in Chest Radiographs
inferred← citeshttps://doi.org/10.1007/978-981-15-0187-6_59openalex-snapshot
Research of Lung Cancer-Assisted Diagnosis Algorithm Based on Multi-scale Convolution Kernel Network
inferred← citeshttps://doi.org/10.1007/s10278-011-9396-8openalex-snapshot
Computer-Aided Detection Scheme for Sentinel Lymph Nodes in Lymphoscintigrams using Symmetrical Property Around Mapped Injection Point
inferred← citeshttps://doi.org/10.1007/s11548-025-03567-yopenalex-snapshot
Left-right relationship-aware 3D volume classification method
inferred← citeshttps://doi.org/10.1016/j.artmed.2020.101881openalex-snapshot
Pulmonary nodule detection on chest radiographs using balanced convolutional neural network and classic candidate detection
inferred← citeshttps://doi.org/10.1016/j.ics.2005.03.061openalex-snapshot
False positive reduction for lung nodule CAD using support vector machines and genetic algorithms
inferred← citeshttps://doi.org/10.1016/j.inffus.2023.101957openalex-snapshot
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series
inferred← citeshttps://doi.org/10.1016/j.patcog.2008.09.021openalex-snapshot
New models for region of interest reader classification analysis in chest radiographs
inferred← citeshttps://doi.org/10.1108/17563781211208251openalex-snapshot
Algorithm fusion to improve detection of lung cancer on chest radiographs
inferred← citeshttps://doi.org/10.1109/access.2018.2817023openalex-snapshot
False-Positive Reduction on Lung Nodules Detection in Chest Radiographs by Ensemble of Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1109/cbms.2005.53openalex-snapshot
Feature Subset Selection for Improving the Performance of False Positive Reduction in Lung Nodule CAD
inferred← citeshttps://doi.org/10.1109/ica-acca.2018.8609795openalex-snapshot
An algorithm for feature extraction and detection of pulmonary nodules in digital radiographic images
inferred← citeshttps://doi.org/10.1109/icgccee.2014.6922409openalex-snapshot
Classification and detection of lung nodules using virtual dual energy in CXR images
inferred← citeshttps://doi.org/10.1109/memea.2012.6226627openalex-snapshot
An improved wavelet-based contralateral subtraction algorithm
inferred← citeshttps://doi.org/10.1109/ssci51031.2022.10022222openalex-snapshot
Towards Symmetry-Aware Pneumonia Detection on Chest X-Rays
inferred← citeshttps://doi.org/10.1109/tbme.2012.2226583openalex-snapshot
Computerized Detection of Lung Nodules by Means of “Virtual Dual-Energy” Radiography
inferred← citeshttps://doi.org/10.1109/titb.2006.872063openalex-snapshot
Feature Subset Selection for Improving the Performance of False Positive Reduction in Lung Nodule CAD
inferred← citeshttps://doi.org/10.1117/1.2907167openalex-snapshot
Computer-aided identification of ovarian cancer in confocal microendoscope images
inferred← citeshttps://doi.org/10.1118/1.3561504openalex-snapshot
Development and evaluation of a computer‐aided diagnostic scheme for lung nodule detection in chest radiographs by means of two‐stage nodule enhancement with support vector classification
inferred← citeshttps://doi.org/10.1145/1734605.1734659openalex-snapshot
Image segmentation for silicosis diagnosis in grid environment
inferred← citeshttps://doi.org/10.1145/3373509.3373587openalex-snapshot
Detection of Pulmonary Nodules based on Reception and Faster R-CNN
inferred← citeshttps://doi.org/10.26634/jcom.1.4.2715openalex-snapshot
Detection Of Lung Nodule Using Watershed Management Technique
inferred← citeshttps://doi.org/10.3233/xst-200656openalex-snapshot
An adaptive pulmonary nodule detection algorithm
inferred← citeshttps://doi.org/10.4018/978-1-4666-0059-1.ch006openalex-snapshot
Computerized Detection of Lung Nodules on Chest Radiographs
inferred← citeshttps://doi.org/10.47607/ijresm.2020.392openalex-snapshot
Screening of Tuberculosis Using Artificial Neural Network
inferred← citeshttps://doi.org/10.5120/20293-2704openalex-snapshot
Lung Nodule Detection and Analysis using VDE Chest Radiographs
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.