Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386309743> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4386309743 abstract "Abstract Among all types of cancers, lung cancer is the deadliest cancer with a high mortality rate. Early diagnosis of lung cancer enables its timely and effective treatment, which can help reduce the risk of death. The aim of this research is to propose a deep learning approach for classifying and detecting lung adenocarcinoma tissues. The method was an improved Scalenet101 based on class activation mapping. (I) Scalenet101 classified lung adenocarcinoma tissue images into cancer, stromal and normal categories with the help of the Sigmoid. Then, the performance of Scalenet101 was validated using the pre-trained downstream techniques such as AlexNet, VGG16, VGG19, and ResNet50. (ii) Multi-scale fusion and weight fitting were performed to obtain multi-classification activation maps, which could improve the interpretability and accuracy in lung cancer evaluation. The performance of this model was tested using benchmark lung adenocarcinoma tissue images from WSSS4LUAD. The results showed that the model achieved an absolute classification accuracy of over 93.86% and an F1 score of over 95.44%." @default.
- W4386309743 created "2023-09-01" @default.
- W4386309743 creator A5017431309 @default.
- W4386309743 creator A5026186829 @default.
- W4386309743 creator A5035282947 @default.
- W4386309743 creator A5036882566 @default.
- W4386309743 creator A5081686251 @default.
- W4386309743 date "2023-08-31" @default.
- W4386309743 modified "2023-09-27" @default.
- W4386309743 title "Multi-classification-assisted diagnosis of multi-scale lung adenocarcinoma pathological maps based on Scalenet101" @default.
- W4386309743 cites W2295107390 @default.
- W4386309743 cites W2566079294 @default.
- W4386309743 cites W2969890541 @default.
- W4386309743 cites W3028148258 @default.
- W4386309743 cites W3107591966 @default.
- W4386309743 cites W3108932871 @default.
- W4386309743 cites W3134849846 @default.
- W4386309743 cites W3150212014 @default.
- W4386309743 cites W3150538710 @default.
- W4386309743 cites W3155298042 @default.
- W4386309743 cites W3201437744 @default.
- W4386309743 cites W3203340998 @default.
- W4386309743 cites W3208227361 @default.
- W4386309743 cites W3215764519 @default.
- W4386309743 cites W3216711769 @default.
- W4386309743 cites W4211059596 @default.
- W4386309743 cites W4212955355 @default.
- W4386309743 cites W4283821751 @default.
- W4386309743 cites W4285503023 @default.
- W4386309743 cites W4292566843 @default.
- W4386309743 cites W4293436059 @default.
- W4386309743 cites W4296425724 @default.
- W4386309743 cites W4297007026 @default.
- W4386309743 cites W4309478090 @default.
- W4386309743 cites W4312578663 @default.
- W4386309743 cites W4321350041 @default.
- W4386309743 cites W4321598040 @default.
- W4386309743 doi "https://doi.org/10.21203/rs.3.rs-3302256/v1" @default.
- W4386309743 hasPublicationYear "2023" @default.
- W4386309743 type Work @default.
- W4386309743 citedByCount "0" @default.
- W4386309743 crossrefType "posted-content" @default.
- W4386309743 hasAuthorship W4386309743A5017431309 @default.
- W4386309743 hasAuthorship W4386309743A5026186829 @default.
- W4386309743 hasAuthorship W4386309743A5035282947 @default.
- W4386309743 hasAuthorship W4386309743A5036882566 @default.
- W4386309743 hasAuthorship W4386309743A5081686251 @default.
- W4386309743 hasBestOaLocation W43863097431 @default.
- W4386309743 hasConcept C121608353 @default.
- W4386309743 hasConcept C126322002 @default.
- W4386309743 hasConcept C143998085 @default.
- W4386309743 hasConcept C153180895 @default.
- W4386309743 hasConcept C154945302 @default.
- W4386309743 hasConcept C185798385 @default.
- W4386309743 hasConcept C205649164 @default.
- W4386309743 hasConcept C2776256026 @default.
- W4386309743 hasConcept C2777714996 @default.
- W4386309743 hasConcept C2781067378 @default.
- W4386309743 hasConcept C2781182431 @default.
- W4386309743 hasConcept C41008148 @default.
- W4386309743 hasConcept C50644808 @default.
- W4386309743 hasConcept C58640448 @default.
- W4386309743 hasConcept C71924100 @default.
- W4386309743 hasConcept C81388566 @default.
- W4386309743 hasConceptScore W4386309743C121608353 @default.
- W4386309743 hasConceptScore W4386309743C126322002 @default.
- W4386309743 hasConceptScore W4386309743C143998085 @default.
- W4386309743 hasConceptScore W4386309743C153180895 @default.
- W4386309743 hasConceptScore W4386309743C154945302 @default.
- W4386309743 hasConceptScore W4386309743C185798385 @default.
- W4386309743 hasConceptScore W4386309743C205649164 @default.
- W4386309743 hasConceptScore W4386309743C2776256026 @default.
- W4386309743 hasConceptScore W4386309743C2777714996 @default.
- W4386309743 hasConceptScore W4386309743C2781067378 @default.
- W4386309743 hasConceptScore W4386309743C2781182431 @default.
- W4386309743 hasConceptScore W4386309743C41008148 @default.
- W4386309743 hasConceptScore W4386309743C50644808 @default.
- W4386309743 hasConceptScore W4386309743C58640448 @default.
- W4386309743 hasConceptScore W4386309743C71924100 @default.
- W4386309743 hasConceptScore W4386309743C81388566 @default.
- W4386309743 hasLocation W43863097431 @default.
- W4386309743 hasOpenAccess W4386309743 @default.
- W4386309743 hasPrimaryLocation W43863097431 @default.
- W4386309743 hasRelatedWork W2364779800 @default.
- W4386309743 hasRelatedWork W2377056512 @default.
- W4386309743 hasRelatedWork W2378627686 @default.
- W4386309743 hasRelatedWork W2515088231 @default.
- W4386309743 hasRelatedWork W2562771216 @default.
- W4386309743 hasRelatedWork W2748952813 @default.
- W4386309743 hasRelatedWork W2796370009 @default.
- W4386309743 hasRelatedWork W2899084033 @default.
- W4386309743 hasRelatedWork W4385965760 @default.
- W4386309743 hasRelatedWork W1776799141 @default.
- W4386309743 isParatext "false" @default.
- W4386309743 isRetracted "false" @default.
- W4386309743 workType "article" @default.