Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386498501> ?p ?o ?g. }
- W4386498501 abstract "Introduction Kidney tumors are common cancer in advanced age, and providing early detection is crucial. Medical imaging and deep learning methods are increasingly attractive for identifying and segmenting kidney tumors. Convolutional neural networks have successfully classified and segmented images, enabling clinicians to recognize and segment tumors effectively. CT scans of kidneys aid in tumor assessment and morphology study, using semantic segmentation techniques for pixel-level identification of kidney and surrounding anatomy. Accurate diagnostic procedures are crucial for early detection of kidney cancer. Methods This paper proposes an EfficientNet model for complex segmentation by linking the encoder stage EfficientNet with U-Net. This model represents a more successful system with improved encoder and decoder features. The Intersection over Union (IoU) metric quantifies model performance. Results and Discussion The EfficientNet models showed high IoU_Scores for background, kidney, and tumor segmentation, with mean IoU_Scores ranging from 0.976 for B0 to 0.980 for B4. B7 received the highest IoU_Score for segmenting kidneys, while B4 received the highest for segmenting tumors. The study utilizes the KiTS19 dataset for contrast-enhanced CT images. Using Semantic segmentation for EfficientNet Family U-Net Models, our method proved even more reliable and will aid doctors in accurate tumor detection and image classification for early diagnosis." @default.
- W4386498501 created "2023-09-07" @default.
- W4386498501 creator A5002862833 @default.
- W4386498501 creator A5054315649 @default.
- W4386498501 date "2023-09-07" @default.
- W4386498501 modified "2023-10-16" @default.
- W4386498501 title "EfficientNet family U-Net models for deep learning semantic segmentation of kidney tumors on CT images" @default.
- W4386498501 cites W1584247442 @default.
- W4386498501 cites W2071064165 @default.
- W4386498501 cites W2103243046 @default.
- W4386498501 cites W2117130368 @default.
- W4386498501 cites W2141125852 @default.
- W4386498501 cites W2333933235 @default.
- W4386498501 cites W2343861259 @default.
- W4386498501 cites W2551940739 @default.
- W4386498501 cites W2557188733 @default.
- W4386498501 cites W2593901215 @default.
- W4386498501 cites W2749587125 @default.
- W4386498501 cites W2783788487 @default.
- W4386498501 cites W2885824038 @default.
- W4386498501 cites W2902878689 @default.
- W4386498501 cites W2978035734 @default.
- W4386498501 cites W2978314296 @default.
- W4386498501 cites W2978331427 @default.
- W4386498501 cites W2978661228 @default.
- W4386498501 cites W2978699824 @default.
- W4386498501 cites W2994731719 @default.
- W4386498501 cites W3003846569 @default.
- W4386498501 cites W3011917823 @default.
- W4386498501 cites W3012618518 @default.
- W4386498501 cites W3023192521 @default.
- W4386498501 cites W3024552337 @default.
- W4386498501 cites W3026891415 @default.
- W4386498501 cites W3043193945 @default.
- W4386498501 cites W3082616142 @default.
- W4386498501 cites W3093474702 @default.
- W4386498501 cites W3100321043 @default.
- W4386498501 cites W3101394124 @default.
- W4386498501 cites W3127138535 @default.
- W4386498501 cites W3132991154 @default.
- W4386498501 cites W3156906419 @default.
- W4386498501 cites W3164640762 @default.
- W4386498501 cites W4213287585 @default.
- W4386498501 cites W4214520917 @default.
- W4386498501 cites W4220868306 @default.
- W4386498501 cites W4229370382 @default.
- W4386498501 cites W4288875966 @default.
- W4386498501 cites W4302283679 @default.
- W4386498501 cites W4318590018 @default.
- W4386498501 doi "https://doi.org/10.3389/fcomp.2023.1235622" @default.
- W4386498501 hasPublicationYear "2023" @default.
- W4386498501 type Work @default.
- W4386498501 citedByCount "0" @default.
- W4386498501 crossrefType "journal-article" @default.
- W4386498501 hasAuthorship W4386498501A5002862833 @default.
- W4386498501 hasAuthorship W4386498501A5054315649 @default.
- W4386498501 hasBestOaLocation W43864985011 @default.
- W4386498501 hasConcept C108583219 @default.
- W4386498501 hasConcept C111919701 @default.
- W4386498501 hasConcept C118505674 @default.
- W4386498501 hasConcept C124504099 @default.
- W4386498501 hasConcept C127413603 @default.
- W4386498501 hasConcept C153180895 @default.
- W4386498501 hasConcept C154945302 @default.
- W4386498501 hasConcept C176217482 @default.
- W4386498501 hasConcept C205649164 @default.
- W4386498501 hasConcept C21547014 @default.
- W4386498501 hasConcept C41008148 @default.
- W4386498501 hasConcept C58640448 @default.
- W4386498501 hasConcept C64543145 @default.
- W4386498501 hasConcept C89600930 @default.
- W4386498501 hasConceptScore W4386498501C108583219 @default.
- W4386498501 hasConceptScore W4386498501C111919701 @default.
- W4386498501 hasConceptScore W4386498501C118505674 @default.
- W4386498501 hasConceptScore W4386498501C124504099 @default.
- W4386498501 hasConceptScore W4386498501C127413603 @default.
- W4386498501 hasConceptScore W4386498501C153180895 @default.
- W4386498501 hasConceptScore W4386498501C154945302 @default.
- W4386498501 hasConceptScore W4386498501C176217482 @default.
- W4386498501 hasConceptScore W4386498501C205649164 @default.
- W4386498501 hasConceptScore W4386498501C21547014 @default.
- W4386498501 hasConceptScore W4386498501C41008148 @default.
- W4386498501 hasConceptScore W4386498501C58640448 @default.
- W4386498501 hasConceptScore W4386498501C64543145 @default.
- W4386498501 hasConceptScore W4386498501C89600930 @default.
- W4386498501 hasLocation W43864985011 @default.
- W4386498501 hasOpenAccess W4386498501 @default.
- W4386498501 hasPrimaryLocation W43864985011 @default.
- W4386498501 hasRelatedWork W2738221750 @default.
- W4386498501 hasRelatedWork W2790662084 @default.
- W4386498501 hasRelatedWork W2954384599 @default.
- W4386498501 hasRelatedWork W2960184797 @default.
- W4386498501 hasRelatedWork W3104734424 @default.
- W4386498501 hasRelatedWork W3161321444 @default.
- W4386498501 hasRelatedWork W3168029802 @default.
- W4386498501 hasRelatedWork W3209779739 @default.
- W4386498501 hasRelatedWork W4226289457 @default.
- W4386498501 hasRelatedWork W4285827401 @default.
- W4386498501 hasVolume "5" @default.
- W4386498501 isParatext "false" @default.