Matches in SemOpenAlex for { <https://semopenalex.org/work/W2122132328> ?p ?o ?g. }
- W2122132328 abstract "The purpose of this study was to develop an automated image analysis algorithm to discriminate between head and neck cancer and nonneoplastic epithelium in confocal laser endomicroscopy (CLE) images.CLE was applied to image head and neck cancer epithelium in vivo. Histopathologic diagnosis from biopsies was used to classify the CLE images offline as cancer or noncancer tissue. The classified images were used to train automated software based on distance map histograms. The performance of the final algorithm was confirmed by leave 2 patients out cross-validation and area under the curve (AUC)/receiver operating characteristic (ROC) analysis.Ninety-two CLE videos and 92 biopsies were analyzed from 12 patients. One hundred two frames of classified neoplastic tissue and 52 frames of nonneoplastic tissue were used for cross-validation of the developed algorithm. AUC varied from 0.52 to 0.92.The proposed software allows an objective classification of CLE images of head and neck cancer and adjacent nonneoplastic epithelium. © 2015 Wiley Periodicals, Inc. Head Neck 38: E1419-E1426, 2016." @default.
- W2122132328 created "2016-06-24" @default.
- W2122132328 creator A5005821903 @default.
- W2122132328 creator A5018098456 @default.
- W2122132328 creator A5019003520 @default.
- W2122132328 creator A5024934744 @default.
- W2122132328 creator A5031708633 @default.
- W2122132328 creator A5074991092 @default.
- W2122132328 creator A5078081528 @default.
- W2122132328 creator A5083033181 @default.
- W2122132328 creator A5091781333 @default.
- W2122132328 date "2015-11-11" @default.
- W2122132328 modified "2023-10-09" @default.
- W2122132328 title "Automated analysis of confocal laser endomicroscopy images to detect head and neck cancer" @default.
- W2122132328 cites W1482723014 @default.
- W2122132328 cites W1511128465 @default.
- W2122132328 cites W1556651084 @default.
- W2122132328 cites W1965372690 @default.
- W2122132328 cites W1970845490 @default.
- W2122132328 cites W1971999765 @default.
- W2122132328 cites W1977992028 @default.
- W2122132328 cites W1978122856 @default.
- W2122132328 cites W1981080687 @default.
- W2122132328 cites W1990956554 @default.
- W2122132328 cites W1991949008 @default.
- W2122132328 cites W2010365854 @default.
- W2122132328 cites W2013754472 @default.
- W2122132328 cites W2017964224 @default.
- W2122132328 cites W2031782274 @default.
- W2122132328 cites W2034952269 @default.
- W2122132328 cites W2035108753 @default.
- W2122132328 cites W2041803044 @default.
- W2122132328 cites W2050736500 @default.
- W2122132328 cites W2061318413 @default.
- W2122132328 cites W2061684818 @default.
- W2122132328 cites W2061922627 @default.
- W2122132328 cites W2062119371 @default.
- W2122132328 cites W2072880652 @default.
- W2122132328 cites W2073399962 @default.
- W2122132328 cites W2078799040 @default.
- W2122132328 cites W2084746469 @default.
- W2122132328 cites W2088032561 @default.
- W2122132328 cites W2088378571 @default.
- W2122132328 cites W2094562601 @default.
- W2122132328 cites W2097943569 @default.
- W2122132328 cites W2098217843 @default.
- W2122132328 cites W2126994971 @default.
- W2122132328 cites W2134611841 @default.
- W2122132328 cites W2141782585 @default.
- W2122132328 cites W2144917539 @default.
- W2122132328 cites W2150062879 @default.
- W2122132328 cites W2152062007 @default.
- W2122132328 doi "https://doi.org/10.1002/hed.24253" @default.
- W2122132328 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26560348" @default.
- W2122132328 hasPublicationYear "2015" @default.
- W2122132328 type Work @default.
- W2122132328 sameAs 2122132328 @default.
- W2122132328 citedByCount "28" @default.
- W2122132328 countsByYear W21221323282015 @default.
- W2122132328 countsByYear W21221323282016 @default.
- W2122132328 countsByYear W21221323282017 @default.
- W2122132328 countsByYear W21221323282018 @default.
- W2122132328 countsByYear W21221323282019 @default.
- W2122132328 countsByYear W21221323282020 @default.
- W2122132328 countsByYear W21221323282021 @default.
- W2122132328 countsByYear W21221323282022 @default.
- W2122132328 countsByYear W21221323282023 @default.
- W2122132328 crossrefType "journal-article" @default.
- W2122132328 hasAuthorship W2122132328A5005821903 @default.
- W2122132328 hasAuthorship W2122132328A5018098456 @default.
- W2122132328 hasAuthorship W2122132328A5019003520 @default.
- W2122132328 hasAuthorship W2122132328A5024934744 @default.
- W2122132328 hasAuthorship W2122132328A5031708633 @default.
- W2122132328 hasAuthorship W2122132328A5074991092 @default.
- W2122132328 hasAuthorship W2122132328A5078081528 @default.
- W2122132328 hasAuthorship W2122132328A5083033181 @default.
- W2122132328 hasAuthorship W2122132328A5091781333 @default.
- W2122132328 hasConcept C121608353 @default.
- W2122132328 hasConcept C126322002 @default.
- W2122132328 hasConcept C126838900 @default.
- W2122132328 hasConcept C136009344 @default.
- W2122132328 hasConcept C141071460 @default.
- W2122132328 hasConcept C142724271 @default.
- W2122132328 hasConcept C154945302 @default.
- W2122132328 hasConcept C17480853 @default.
- W2122132328 hasConcept C2524010 @default.
- W2122132328 hasConcept C2776530083 @default.
- W2122132328 hasConcept C2779178360 @default.
- W2122132328 hasConcept C2989005 @default.
- W2122132328 hasConcept C3018411727 @default.
- W2122132328 hasConcept C33923547 @default.
- W2122132328 hasConcept C41008148 @default.
- W2122132328 hasConcept C509974204 @default.
- W2122132328 hasConcept C58471807 @default.
- W2122132328 hasConcept C71924100 @default.
- W2122132328 hasConcept C86803240 @default.
- W2122132328 hasConcept C95444343 @default.
- W2122132328 hasConceptScore W2122132328C121608353 @default.
- W2122132328 hasConceptScore W2122132328C126322002 @default.
- W2122132328 hasConceptScore W2122132328C126838900 @default.