Matches in SemOpenAlex for { <https://semopenalex.org/work/W3195545591> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W3195545591 endingPage "39" @default.
- W3195545591 startingPage "35" @default.
- W3195545591 abstract "Deep-learning algorithms (DLAs) have been used in artificial intelligence aided ultrasonography diagnosis of thyroid and breast lesions. However, its use has not been described in the case of dermatologic ultrasound lesions. Our purpose was to train a DLA to discriminate benign form malignant lesions in dermatologic ultrasound images.We trained a prebuilt neural network architecture (EfficientNet B4) in a commercial artificial intelligence platform (Peltarion, Stockholm, Sweden) with 235 color Doppler images of both benign and malignant ultrasound images of 235 excised and histologically confirmed skin lesions (84.3% training, 15.7% validation). An additional 35 test images were used for testing the algorithm discrimination for correct benign/malignant diagnosis. One dermatologist with more than 5 years of experience in dermatologic ultrasound blindly evaluated the same 35 test images for malignancy or benignity.EfficientNet B4 trained dermatologic ultrasound algorithm sensitivity; specificity; predictive positive values, and predicted negative values for validation algorithm were 0.8, 0.86, 0.86, and 0.8, respectively for malignancy diagnosis. When tested with 35 previously unevaluated images sets, the algorithm´s accuracy for correct benign/malignant diagnosis was 77.1%, not statistically significantly different from the dermatologist's evaluation (74.1%).An adequately trained algorithm, even with a limited number of images, is at least as accurate as a dermatologic-ultrasound experienced dermatologist in the evaluation of benignity/malignancy of ultrasound skin tumor images devoid of clinical data." @default.
- W3195545591 created "2021-08-30" @default.
- W3195545591 creator A5036396649 @default.
- W3195545591 creator A5045797511 @default.
- W3195545591 creator A5049809541 @default.
- W3195545591 creator A5055764573 @default.
- W3195545591 creator A5058713967 @default.
- W3195545591 creator A5059988078 @default.
- W3195545591 creator A5063612266 @default.
- W3195545591 creator A5078638746 @default.
- W3195545591 date "2021-08-22" @default.
- W3195545591 modified "2023-10-01" @default.
- W3195545591 title "Discriminative deep learning based benignity/malignancy diagnosis of dermatologic ultrasound skin lesions with pretrained artificial intelligence architecture" @default.
- W3195545591 cites W1972999040 @default.
- W3195545591 cites W2275550226 @default.
- W3195545591 cites W2294480459 @default.
- W3195545591 cites W2472843663 @default.
- W3195545591 cites W2883547127 @default.
- W3195545591 cites W2895598278 @default.
- W3195545591 cites W2896817483 @default.
- W3195545591 cites W2901761486 @default.
- W3195545591 cites W2911378287 @default.
- W3195545591 cites W2963163009 @default.
- W3195545591 cites W2963918968 @default.
- W3195545591 cites W2997586885 @default.
- W3195545591 cites W3006861643 @default.
- W3195545591 cites W3014247536 @default.
- W3195545591 cites W3023849371 @default.
- W3195545591 cites W3044985529 @default.
- W3195545591 cites W3047282429 @default.
- W3195545591 cites W3087002346 @default.
- W3195545591 cites W3195545591 @default.
- W3195545591 doi "https://doi.org/10.1111/srt.13086" @default.
- W3195545591 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34420233" @default.
- W3195545591 hasPublicationYear "2021" @default.
- W3195545591 type Work @default.
- W3195545591 sameAs 3195545591 @default.
- W3195545591 citedByCount "4" @default.
- W3195545591 countsByYear W31955455912021 @default.
- W3195545591 countsByYear W31955455912022 @default.
- W3195545591 countsByYear W31955455912023 @default.
- W3195545591 crossrefType "journal-article" @default.
- W3195545591 hasAuthorship W3195545591A5036396649 @default.
- W3195545591 hasAuthorship W3195545591A5045797511 @default.
- W3195545591 hasAuthorship W3195545591A5049809541 @default.
- W3195545591 hasAuthorship W3195545591A5055764573 @default.
- W3195545591 hasAuthorship W3195545591A5058713967 @default.
- W3195545591 hasAuthorship W3195545591A5059988078 @default.
- W3195545591 hasAuthorship W3195545591A5063612266 @default.
- W3195545591 hasAuthorship W3195545591A5078638746 @default.
- W3195545591 hasBestOaLocation W31955455911 @default.
- W3195545591 hasConcept C126838900 @default.
- W3195545591 hasConcept C142724271 @default.
- W3195545591 hasConcept C143753070 @default.
- W3195545591 hasConcept C16005928 @default.
- W3195545591 hasConcept C2776316164 @default.
- W3195545591 hasConcept C2779399171 @default.
- W3195545591 hasConcept C71924100 @default.
- W3195545591 hasConceptScore W3195545591C126838900 @default.
- W3195545591 hasConceptScore W3195545591C142724271 @default.
- W3195545591 hasConceptScore W3195545591C143753070 @default.
- W3195545591 hasConceptScore W3195545591C16005928 @default.
- W3195545591 hasConceptScore W3195545591C2776316164 @default.
- W3195545591 hasConceptScore W3195545591C2779399171 @default.
- W3195545591 hasConceptScore W3195545591C71924100 @default.
- W3195545591 hasIssue "1" @default.
- W3195545591 hasLocation W31955455911 @default.
- W3195545591 hasLocation W31955455912 @default.
- W3195545591 hasLocation W31955455913 @default.
- W3195545591 hasOpenAccess W3195545591 @default.
- W3195545591 hasPrimaryLocation W31955455911 @default.
- W3195545591 hasRelatedWork W1973667550 @default.
- W3195545591 hasRelatedWork W2076604192 @default.
- W3195545591 hasRelatedWork W2086376982 @default.
- W3195545591 hasRelatedWork W2129790334 @default.
- W3195545591 hasRelatedWork W2388480798 @default.
- W3195545591 hasRelatedWork W2562920839 @default.
- W3195545591 hasRelatedWork W2902148150 @default.
- W3195545591 hasRelatedWork W3037281733 @default.
- W3195545591 hasRelatedWork W4210760687 @default.
- W3195545591 hasRelatedWork W4318946215 @default.
- W3195545591 hasVolume "28" @default.
- W3195545591 isParatext "false" @default.
- W3195545591 isRetracted "false" @default.
- W3195545591 magId "3195545591" @default.
- W3195545591 workType "article" @default.