Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308553718> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4308553718 endingPage "635" @default.
- W4308553718 startingPage "625" @default.
- W4308553718 abstract "With the rapid development of edge intelligence (EI) and machine learning (ML), the applications of Cyber-Physical Systems (CPS) have been discovered in all aspects of the life world. As one of its most essential branches, Medical CPS (MCPS) determines human health and medical treatment in the Internet of Everything (IOE) era. Knowledge sharing is the critical point of MCPS and has also been humanity's best dream through the ages. This paper explores a novel knowledge-sharing model in MCPS and takes a pulmonary nodule detection task as a significant case for building an Unet-based mask generator. A Classification-guided Module (CGM)-based discriminator with knowledge from EMRs is set against a generator to offer a promising result for each mask from the inexperienced participant of federated ML. After an iterative communication between the federated server and its clients for knowledge sharing, the segmented sub-image owns a coincident attribute distribution with that of the EMRs from the experts. Besides, the adversarial network augment the data to normalize the data distribution for all the clients as a remission for none independent identically distributed (non-IID) data problem. We implement a detection framework on the simulated EI environment following an existing adaptive synchronization strategy based on data sharing and median loss function. On 1304 scans of the merged dataset, our proposed framework can help boost the detection performance for most of the existing methods of pulmonary nodule detection." @default.
- W4308553718 created "2022-11-12" @default.
- W4308553718 creator A5036758801 @default.
- W4308553718 creator A5049672871 @default.
- W4308553718 creator A5050306506 @default.
- W4308553718 creator A5070719868 @default.
- W4308553718 creator A5085375813 @default.
- W4308553718 date "2023-02-01" @default.
- W4308553718 modified "2023-09-26" @default.
- W4308553718 title "Knowledge Sharing for Pulmonary Nodule Detection in Medical Cyber-Physical Systems" @default.
- W4308553718 cites W1566256432 @default.
- W4308553718 cites W1903029394 @default.
- W4308553718 cites W1965468410 @default.
- W4308553718 cites W1988117153 @default.
- W4308553718 cites W1992122542 @default.
- W4308553718 cites W2003191742 @default.
- W4308553718 cites W2078014989 @default.
- W4308553718 cites W2105478370 @default.
- W4308553718 cites W2127334500 @default.
- W4308553718 cites W2129403502 @default.
- W4308553718 cites W2137798983 @default.
- W4308553718 cites W2153482625 @default.
- W4308553718 cites W2155662634 @default.
- W4308553718 cites W2234650031 @default.
- W4308553718 cites W2237167366 @default.
- W4308553718 cites W2253429366 @default.
- W4308553718 cites W2322371438 @default.
- W4308553718 cites W2520732917 @default.
- W4308553718 cites W2524399695 @default.
- W4308553718 cites W2553191729 @default.
- W4308553718 cites W2569197105 @default.
- W4308553718 cites W2584017349 @default.
- W4308553718 cites W2618530766 @default.
- W4308553718 cites W2626997132 @default.
- W4308553718 cites W2733946950 @default.
- W4308553718 cites W2766353760 @default.
- W4308553718 cites W2792705209 @default.
- W4308553718 cites W2801761047 @default.
- W4308553718 cites W2806695489 @default.
- W4308553718 cites W2897230576 @default.
- W4308553718 cites W2901602620 @default.
- W4308553718 cites W2912348842 @default.
- W4308553718 cites W2939645724 @default.
- W4308553718 cites W2963626105 @default.
- W4308553718 cites W2980831059 @default.
- W4308553718 cites W2996290406 @default.
- W4308553718 cites W2996862638 @default.
- W4308553718 cites W3015788359 @default.
- W4308553718 cites W3018464563 @default.
- W4308553718 cites W317170363 @default.
- W4308553718 cites W4213441629 @default.
- W4308553718 cites W639708223 @default.
- W4308553718 doi "https://doi.org/10.1109/jbhi.2022.3220430" @default.
- W4308553718 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36346863" @default.
- W4308553718 hasPublicationYear "2023" @default.
- W4308553718 type Work @default.
- W4308553718 citedByCount "0" @default.
- W4308553718 crossrefType "journal-article" @default.
- W4308553718 hasAuthorship W4308553718A5036758801 @default.
- W4308553718 hasAuthorship W4308553718A5049672871 @default.
- W4308553718 hasAuthorship W4308553718A5050306506 @default.
- W4308553718 hasAuthorship W4308553718A5070719868 @default.
- W4308553718 hasAuthorship W4308553718A5085375813 @default.
- W4308553718 hasConcept C119857082 @default.
- W4308553718 hasConcept C124101348 @default.
- W4308553718 hasConcept C154945302 @default.
- W4308553718 hasConcept C41008148 @default.
- W4308553718 hasConceptScore W4308553718C119857082 @default.
- W4308553718 hasConceptScore W4308553718C124101348 @default.
- W4308553718 hasConceptScore W4308553718C154945302 @default.
- W4308553718 hasConceptScore W4308553718C41008148 @default.
- W4308553718 hasFunder F4320321001 @default.
- W4308553718 hasIssue "2" @default.
- W4308553718 hasLocation W43085537181 @default.
- W4308553718 hasLocation W43085537182 @default.
- W4308553718 hasOpenAccess W4308553718 @default.
- W4308553718 hasPrimaryLocation W43085537181 @default.
- W4308553718 hasRelatedWork W2961085424 @default.
- W4308553718 hasRelatedWork W3046775127 @default.
- W4308553718 hasRelatedWork W3107474891 @default.
- W4308553718 hasRelatedWork W3209574120 @default.
- W4308553718 hasRelatedWork W4205958290 @default.
- W4308553718 hasRelatedWork W4285260836 @default.
- W4308553718 hasRelatedWork W4286629047 @default.
- W4308553718 hasRelatedWork W4306321456 @default.
- W4308553718 hasRelatedWork W4306674287 @default.
- W4308553718 hasRelatedWork W4224009465 @default.
- W4308553718 hasVolume "27" @default.
- W4308553718 isParatext "false" @default.
- W4308553718 isRetracted "false" @default.
- W4308553718 workType "article" @default.