Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313509986> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4313509986 endingPage "196" @default.
- W4313509986 startingPage "196" @default.
- W4313509986 abstract "Recent advancements in artificial intelligence (AI) have led to numerous medical discoveries. The field of computer vision (CV) for medical diagnosis has received particular attention. Using images of peripheral blood (PB) smears, CV has been utilized in hematology to detect acute leukemia (AL). Significant research has been undertaken in the area of AL diagnosis automation in order to deliver an accurate diagnosis. This study addresses the morphological classification of atypical white blood cells (WBCs), including immature WBCs and atypical lymphocytes, in acute myeloid leukemia (AML), as observed in peripheral blood (PB) smear images. The purpose of this work is to build a classification model for atypical AML WBCs based on their distinctive features. Using a hybrid model based on geometric transformation (GT) and a deep convolutional autoencoder (DCAE), this work provides a novel technique in the field of AI for resolving the issue of imbalanced distribution of WBCs in blood samples, nicknamed the GT-DCAE WBC augmentation model. In addition, to extract context-free atypical WBC features, this study develops a stable learning paradigm by incorporating WBC segmentation into deep learning. In order to classify atypical WBCs into eight distinct subgroups, a hybrid multiclassification model termed the two-stage DCAE-CNN atypical WBC classification model (DCAE-CNN) was developed. The model achieved an average accuracy of 97%, a sensitivity of 97%, and a precision of 98%. Overall and by class, the model's discriminating abilities were exceptional, with an AUC of 99.7% and a class-wise range of 80% to 100%." @default.
- W4313509986 created "2023-01-06" @default.
- W4313509986 creator A5000584189 @default.
- W4313509986 creator A5003126135 @default.
- W4313509986 creator A5047640611 @default.
- W4313509986 creator A5064305422 @default.
- W4313509986 creator A5066037635 @default.
- W4313509986 creator A5067532175 @default.
- W4313509986 creator A5087177506 @default.
- W4313509986 date "2023-01-05" @default.
- W4313509986 modified "2023-10-11" @default.
- W4313509986 title "Classification of Atypical White Blood Cells in Acute Myeloid Leukemia Using a Two-Stage Hybrid Model Based on Deep Convolutional Autoencoder and Deep Convolutional Neural Network" @default.
- W4313509986 cites W1976756294 @default.
- W4313509986 cites W2153702401 @default.
- W4313509986 cites W2232141968 @default.
- W4313509986 cites W2416970428 @default.
- W4313509986 cites W2495430411 @default.
- W4313509986 cites W2736844740 @default.
- W4313509986 cites W2773694050 @default.
- W4313509986 cites W2785520285 @default.
- W4313509986 cites W2790011380 @default.
- W4313509986 cites W2803857835 @default.
- W4313509986 cites W2805895414 @default.
- W4313509986 cites W2986235590 @default.
- W4313509986 cites W3040976691 @default.
- W4313509986 cites W3046982081 @default.
- W4313509986 cites W3089921054 @default.
- W4313509986 cites W3206019699 @default.
- W4313509986 cites W4210914445 @default.
- W4313509986 doi "https://doi.org/10.3390/diagnostics13020196" @default.
- W4313509986 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36673006" @default.
- W4313509986 hasPublicationYear "2023" @default.
- W4313509986 type Work @default.
- W4313509986 citedByCount "3" @default.
- W4313509986 countsByYear W43135099862023 @default.
- W4313509986 crossrefType "journal-article" @default.
- W4313509986 hasAuthorship W4313509986A5000584189 @default.
- W4313509986 hasAuthorship W4313509986A5003126135 @default.
- W4313509986 hasAuthorship W4313509986A5047640611 @default.
- W4313509986 hasAuthorship W4313509986A5064305422 @default.
- W4313509986 hasAuthorship W4313509986A5066037635 @default.
- W4313509986 hasAuthorship W4313509986A5067532175 @default.
- W4313509986 hasAuthorship W4313509986A5087177506 @default.
- W4313509986 hasBestOaLocation W43135099861 @default.
- W4313509986 hasConcept C101738243 @default.
- W4313509986 hasConcept C108583219 @default.
- W4313509986 hasConcept C126322002 @default.
- W4313509986 hasConcept C146357865 @default.
- W4313509986 hasConcept C151730666 @default.
- W4313509986 hasConcept C153180895 @default.
- W4313509986 hasConcept C154945302 @default.
- W4313509986 hasConcept C2778729363 @default.
- W4313509986 hasConcept C2779343474 @default.
- W4313509986 hasConcept C41008148 @default.
- W4313509986 hasConcept C71924100 @default.
- W4313509986 hasConcept C81363708 @default.
- W4313509986 hasConcept C86803240 @default.
- W4313509986 hasConcept C89600930 @default.
- W4313509986 hasConceptScore W4313509986C101738243 @default.
- W4313509986 hasConceptScore W4313509986C108583219 @default.
- W4313509986 hasConceptScore W4313509986C126322002 @default.
- W4313509986 hasConceptScore W4313509986C146357865 @default.
- W4313509986 hasConceptScore W4313509986C151730666 @default.
- W4313509986 hasConceptScore W4313509986C153180895 @default.
- W4313509986 hasConceptScore W4313509986C154945302 @default.
- W4313509986 hasConceptScore W4313509986C2778729363 @default.
- W4313509986 hasConceptScore W4313509986C2779343474 @default.
- W4313509986 hasConceptScore W4313509986C41008148 @default.
- W4313509986 hasConceptScore W4313509986C71924100 @default.
- W4313509986 hasConceptScore W4313509986C81363708 @default.
- W4313509986 hasConceptScore W4313509986C86803240 @default.
- W4313509986 hasConceptScore W4313509986C89600930 @default.
- W4313509986 hasIssue "2" @default.
- W4313509986 hasLocation W43135099861 @default.
- W4313509986 hasLocation W43135099862 @default.
- W4313509986 hasLocation W43135099863 @default.
- W4313509986 hasOpenAccess W4313509986 @default.
- W4313509986 hasPrimaryLocation W43135099861 @default.
- W4313509986 hasRelatedWork W2669956259 @default.
- W4313509986 hasRelatedWork W3029198973 @default.
- W4313509986 hasRelatedWork W3133861977 @default.
- W4313509986 hasRelatedWork W3167935049 @default.
- W4313509986 hasRelatedWork W3193565141 @default.
- W4313509986 hasRelatedWork W4226493464 @default.
- W4313509986 hasRelatedWork W4249005693 @default.
- W4313509986 hasRelatedWork W4312417841 @default.
- W4313509986 hasRelatedWork W4315434538 @default.
- W4313509986 hasRelatedWork W4365790226 @default.
- W4313509986 hasVolume "13" @default.
- W4313509986 isParatext "false" @default.
- W4313509986 isRetracted "false" @default.
- W4313509986 workType "article" @default.