Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312944972> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4312944972 endingPage "148" @default.
- W4312944972 startingPage "143" @default.
- W4312944972 abstract "Breast cancer is one of the deadliest cancers in the world. It is essential to detect the signs of cancer as early as possible, to make the survival rate higher. However, detecting the signs of breast cancer using the machine or deep learning algorithms from the diagnostic imaging results is not trivial. Slight changes in the illumination of the scanned area can significantly affect the automatic breast cancer classification process. Hence, the research aims to propose an automatic classifier for breast cancer from digital medical imaging (e.g., Positron Emission Tomography or PET, X-Ray of Mammogram, and Magnetic Resonance Imaging (MRI) images). The research proposes modified deep learning architecture with five different settings to model automatic breast cancer classifiers. In addition, five machine learning algorithms are also explored to model the classifiers. The dataset used in the research is the Curated Breast Imaging Subset of Digital Database for Screening Mammography (CBIS-DDSM). A total of 2,676 mammogram images are used in the research and are split into 80%:20% (2,141:535) for training and testing datasets. The results demonstrate that the model trained with eight layers of Convolutional Neural Networks (CNN) (SET-8) achieves the best accuracy score of 94.89% and 93.75% in the training and validation dataset, respectively." @default.
- W4312944972 created "2023-01-05" @default.
- W4312944972 creator A5016075689 @default.
- W4312944972 date "2022-06-08" @default.
- W4312944972 modified "2023-09-29" @default.
- W4312944972 title "Exploring the Best Parameters of Deep Learning for Breast Cancer Classification System" @default.
- W4312944972 doi "https://doi.org/10.21512/commit.v16i2.8174" @default.
- W4312944972 hasPublicationYear "2022" @default.
- W4312944972 type Work @default.
- W4312944972 citedByCount "0" @default.
- W4312944972 crossrefType "journal-article" @default.
- W4312944972 hasAuthorship W4312944972A5016075689 @default.
- W4312944972 hasBestOaLocation W43129449723 @default.
- W4312944972 hasConcept C108583219 @default.
- W4312944972 hasConcept C119857082 @default.
- W4312944972 hasConcept C121608353 @default.
- W4312944972 hasConcept C126322002 @default.
- W4312944972 hasConcept C126838900 @default.
- W4312944972 hasConcept C143409427 @default.
- W4312944972 hasConcept C153180895 @default.
- W4312944972 hasConcept C154945302 @default.
- W4312944972 hasConcept C2780472235 @default.
- W4312944972 hasConcept C2781281974 @default.
- W4312944972 hasConcept C31601959 @default.
- W4312944972 hasConcept C41008148 @default.
- W4312944972 hasConcept C50644808 @default.
- W4312944972 hasConcept C530470458 @default.
- W4312944972 hasConcept C71924100 @default.
- W4312944972 hasConcept C81363708 @default.
- W4312944972 hasConcept C95623464 @default.
- W4312944972 hasConceptScore W4312944972C108583219 @default.
- W4312944972 hasConceptScore W4312944972C119857082 @default.
- W4312944972 hasConceptScore W4312944972C121608353 @default.
- W4312944972 hasConceptScore W4312944972C126322002 @default.
- W4312944972 hasConceptScore W4312944972C126838900 @default.
- W4312944972 hasConceptScore W4312944972C143409427 @default.
- W4312944972 hasConceptScore W4312944972C153180895 @default.
- W4312944972 hasConceptScore W4312944972C154945302 @default.
- W4312944972 hasConceptScore W4312944972C2780472235 @default.
- W4312944972 hasConceptScore W4312944972C2781281974 @default.
- W4312944972 hasConceptScore W4312944972C31601959 @default.
- W4312944972 hasConceptScore W4312944972C41008148 @default.
- W4312944972 hasConceptScore W4312944972C50644808 @default.
- W4312944972 hasConceptScore W4312944972C530470458 @default.
- W4312944972 hasConceptScore W4312944972C71924100 @default.
- W4312944972 hasConceptScore W4312944972C81363708 @default.
- W4312944972 hasConceptScore W4312944972C95623464 @default.
- W4312944972 hasIssue "2" @default.
- W4312944972 hasLocation W43129449721 @default.
- W4312944972 hasLocation W43129449722 @default.
- W4312944972 hasLocation W43129449723 @default.
- W4312944972 hasOpenAccess W4312944972 @default.
- W4312944972 hasPrimaryLocation W43129449721 @default.
- W4312944972 hasRelatedWork W2724710774 @default.
- W4312944972 hasRelatedWork W2731899572 @default.
- W4312944972 hasRelatedWork W3111570720 @default.
- W4312944972 hasRelatedWork W3116150086 @default.
- W4312944972 hasRelatedWork W3133861977 @default.
- W4312944972 hasRelatedWork W4200173597 @default.
- W4312944972 hasRelatedWork W4281780675 @default.
- W4312944972 hasRelatedWork W4297820521 @default.
- W4312944972 hasRelatedWork W4312417841 @default.
- W4312944972 hasRelatedWork W4321369474 @default.
- W4312944972 hasVolume "16" @default.
- W4312944972 isParatext "false" @default.
- W4312944972 isRetracted "false" @default.
- W4312944972 workType "article" @default.