FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3217423322> ?p ?o ?g. }

• W3217423322 endingPage "1806" @default.
• W3217423322 startingPage "1798" @default.
• W3217423322 abstract "Objectives To assess a new application of artificial intelligence for real-time detection of laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow-band imaging (NBI) videolaryngoscopies based on the You-Only-Look-Once (YOLO) deep learning convolutional neural network (CNN). Study Design Experimental study with retrospective data. Methods Recorded videos of LSCC were retrospectively collected from in-office transnasal videoendoscopies and intraoperative rigid endoscopies. LSCC videoframes were extracted for training, validation, and testing of various YOLO models. Different techniques were used to enhance the image analysis: contrast limited adaptive histogram equalization, data augmentation techniques, and test time augmentation (TTA). The best-performing model was used to assess the automatic detection of LSCC in six videolaryngoscopies. Results Two hundred and nineteen patients were retrospectively enrolled. A total of 624 LSCC videoframes were extracted. The YOLO models were trained after random distribution of images into a training set (82.6%), validation set (8.2%), and testing set (9.2%). Among the various models, the ensemble algorithm (YOLOv5s with YOLOv5m—TTA) achieved the best LSCC detection results, with performance metrics in par with the results reported by other state-of-the-art detection models: 0.66 Precision (positive predicted value), 0.62 Recall (sensitivity), and 0.63 mean Average Precision at 0.5 intersection over union. Tests on the six videolaryngoscopies demonstrated an average computation time per videoframe of 0.026 seconds. Three demonstration videos are provided. Conclusion This study identified a suitable CNN model for LSCC detection in WL and NBI videolaryngoscopies. Detection performances are highly promising. The limited complexity and quick computational times for LSCC detection make this model ideal for real-time processing. Level of Evidence 3 Laryngoscope, 2021" @default.
• W3217423322 created "2021-12-06" @default.
• W3217423322 creator A5002739707 @default.
• W3217423322 creator A5007046109 @default.
• W3217423322 creator A5008808988 @default.
• W3217423322 creator A5010580164 @default.
• W3217423322 creator A5022214269 @default.
• W3217423322 creator A5029223637 @default.
• W3217423322 creator A5042041972 @default.
• W3217423322 creator A5050505041 @default.
• W3217423322 creator A5052526781 @default.
• W3217423322 creator A5068504832 @default.
• W3217423322 creator A5083638676 @default.
• W3217423322 creator A5087510902 @default.
• W3217423322 date "2021-11-25" @default.
• W3217423322 modified "2023-10-14" @default.
• W3217423322 title "Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real‐Time Laryngeal Cancer Detection" @default.
• W3217423322 cites W1976496898 @default.
• W3217423322 cites W1978917654 @default.
• W3217423322 cites W1984208160 @default.
• W3217423322 cites W1994068643 @default.
• W3217423322 cites W2031489346 @default.
• W3217423322 cites W2074110893 @default.
• W3217423322 cites W2127744012 @default.
• W3217423322 cites W2220197303 @default.
• W3217423322 cites W2681444310 @default.
• W3217423322 cites W2790544511 @default.
• W3217423322 cites W2894010682 @default.
• W3217423322 cites W2909244736 @default.
• W3217423322 cites W2963037989 @default.
• W3217423322 cites W2978479212 @default.
• W3217423322 cites W2990597847 @default.
• W3217423322 cites W3006805607 @default.
• W3217423322 cites W3035174936 @default.
• W3217423322 cites W3036067296 @default.
• W3217423322 cites W3042011474 @default.
• W3217423322 cites W3042985387 @default.
• W3217423322 cites W3081692543 @default.
• W3217423322 cites W3092813545 @default.
• W3217423322 cites W3109064851 @default.
• W3217423322 cites W3137487676 @default.
• W3217423322 cites W3174248541 @default.
• W3217423322 doi "https://doi.org/10.1002/lary.29960" @default.
• W3217423322 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34821396" @default.
• W3217423322 hasPublicationYear "2021" @default.
• W3217423322 type Work @default.
• W3217423322 sameAs 3217423322 @default.
• W3217423322 citedByCount "38" @default.
• W3217423322 countsByYear W32174233222022 @default.
• W3217423322 countsByYear W32174233222023 @default.
• W3217423322 crossrefType "journal-article" @default.
• W3217423322 hasAuthorship W3217423322A5002739707 @default.
• W3217423322 hasAuthorship W3217423322A5007046109 @default.
• W3217423322 hasAuthorship W3217423322A5008808988 @default.
• W3217423322 hasAuthorship W3217423322A5010580164 @default.
• W3217423322 hasAuthorship W3217423322A5022214269 @default.
• W3217423322 hasAuthorship W3217423322A5029223637 @default.
• W3217423322 hasAuthorship W3217423322A5042041972 @default.
• W3217423322 hasAuthorship W3217423322A5050505041 @default.
• W3217423322 hasAuthorship W3217423322A5052526781 @default.
• W3217423322 hasAuthorship W3217423322A5068504832 @default.
• W3217423322 hasAuthorship W3217423322A5083638676 @default.
• W3217423322 hasAuthorship W3217423322A5087510902 @default.
• W3217423322 hasBestOaLocation W32174233221 @default.
• W3217423322 hasConcept C108583219 @default.
• W3217423322 hasConcept C115961682 @default.
• W3217423322 hasConcept C153180895 @default.
• W3217423322 hasConcept C154945302 @default.
• W3217423322 hasConcept C169903167 @default.
• W3217423322 hasConcept C2776502983 @default.
• W3217423322 hasConcept C41008148 @default.
• W3217423322 hasConcept C53533937 @default.
• W3217423322 hasConcept C58489278 @default.
• W3217423322 hasConcept C71924100 @default.
• W3217423322 hasConcept C81363708 @default.
• W3217423322 hasConceptScore W3217423322C108583219 @default.
• W3217423322 hasConceptScore W3217423322C115961682 @default.
• W3217423322 hasConceptScore W3217423322C153180895 @default.
• W3217423322 hasConceptScore W3217423322C154945302 @default.
• W3217423322 hasConceptScore W3217423322C169903167 @default.
• W3217423322 hasConceptScore W3217423322C2776502983 @default.
• W3217423322 hasConceptScore W3217423322C41008148 @default.
• W3217423322 hasConceptScore W3217423322C53533937 @default.
• W3217423322 hasConceptScore W3217423322C58489278 @default.
• W3217423322 hasConceptScore W3217423322C71924100 @default.
• W3217423322 hasConceptScore W3217423322C81363708 @default.
• W3217423322 hasIssue "9" @default.
• W3217423322 hasLocation W32174233221 @default.
• W3217423322 hasLocation W32174233222 @default.
• W3217423322 hasLocation W32174233223 @default.
• W3217423322 hasLocation W32174233224 @default.
• W3217423322 hasOpenAccess W3217423322 @default.
• W3217423322 hasPrimaryLocation W32174233221 @default.
• W3217423322 hasRelatedWork W2732542196 @default.
• W3217423322 hasRelatedWork W2738221750 @default.
• W3217423322 hasRelatedWork W3012393889 @default.
• W3217423322 hasRelatedWork W3081496756 @default.
• W3217423322 hasRelatedWork W3144574764 @default.

• next