Matches in SemOpenAlex for { <https://semopenalex.org/work/W2968082143> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2968082143 abstract "The authors investigate the problem of image classification. Earlier, the task of image classification is accomplished by traditional machine learning techniques and other shallower neural network models. Later with the evolution of deeper networks, convolutional neural networks have gained without importance due to its outstanding accuracy in various domains. Unlike in real-world datasets for performing the classification of various images under different categories, the job of biomedical image classification of chest X-rays is quite tedious due to overlapping characteristics of X-ray images. The objective of this paper is to classify the images of chest X-rays and predict the pneumonia traces in lungs. Inception V3 model, with transfer learning is applied on this medical dataset. The model is implemented in Keras as front-end library with tensor flow framework. The training on this dataset to generate a custom model file on GTX 1070 video card consumed 30 min yielding 98% training accuracy and 99% validation accuracy." @default.
- W2968082143 created "2019-08-22" @default.
- W2968082143 creator A5029351705 @default.
- W2968082143 creator A5053807703 @default.
- W2968082143 date "2019-08-18" @default.
- W2968082143 modified "2023-09-23" @default.
- W2968082143 title "Medical Image Classification Through Deep Learning" @default.
- W2968082143 cites W2097117768 @default.
- W2968082143 cites W2183341477 @default.
- W2968082143 cites W2194775991 @default.
- W2968082143 cites W2510597476 @default.
- W2968082143 cites W2800691917 @default.
- W2968082143 doi "https://doi.org/10.1007/978-981-13-8676-3_23" @default.
- W2968082143 hasPublicationYear "2019" @default.
- W2968082143 type Work @default.
- W2968082143 sameAs 2968082143 @default.
- W2968082143 citedByCount "0" @default.
- W2968082143 crossrefType "book-chapter" @default.
- W2968082143 hasAuthorship W2968082143A5029351705 @default.
- W2968082143 hasAuthorship W2968082143A5053807703 @default.
- W2968082143 hasConcept C108583219 @default.
- W2968082143 hasConcept C115961682 @default.
- W2968082143 hasConcept C119857082 @default.
- W2968082143 hasConcept C150899416 @default.
- W2968082143 hasConcept C153180895 @default.
- W2968082143 hasConcept C154945302 @default.
- W2968082143 hasConcept C162324750 @default.
- W2968082143 hasConcept C187736073 @default.
- W2968082143 hasConcept C2780451532 @default.
- W2968082143 hasConcept C41008148 @default.
- W2968082143 hasConcept C50644808 @default.
- W2968082143 hasConcept C75294576 @default.
- W2968082143 hasConcept C81363708 @default.
- W2968082143 hasConceptScore W2968082143C108583219 @default.
- W2968082143 hasConceptScore W2968082143C115961682 @default.
- W2968082143 hasConceptScore W2968082143C119857082 @default.
- W2968082143 hasConceptScore W2968082143C150899416 @default.
- W2968082143 hasConceptScore W2968082143C153180895 @default.
- W2968082143 hasConceptScore W2968082143C154945302 @default.
- W2968082143 hasConceptScore W2968082143C162324750 @default.
- W2968082143 hasConceptScore W2968082143C187736073 @default.
- W2968082143 hasConceptScore W2968082143C2780451532 @default.
- W2968082143 hasConceptScore W2968082143C41008148 @default.
- W2968082143 hasConceptScore W2968082143C50644808 @default.
- W2968082143 hasConceptScore W2968082143C75294576 @default.
- W2968082143 hasConceptScore W2968082143C81363708 @default.
- W2968082143 hasLocation W29680821431 @default.
- W2968082143 hasOpenAccess W2968082143 @default.
- W2968082143 hasPrimaryLocation W29680821431 @default.
- W2968082143 hasRelatedWork W10944326 @default.
- W2968082143 hasRelatedWork W12336802 @default.
- W2968082143 hasRelatedWork W13538861 @default.
- W2968082143 hasRelatedWork W1383942 @default.
- W2968082143 hasRelatedWork W14516383 @default.
- W2968082143 hasRelatedWork W4275953 @default.
- W2968082143 hasRelatedWork W7303821 @default.
- W2968082143 hasRelatedWork W7811848 @default.
- W2968082143 hasRelatedWork W9190101 @default.
- W2968082143 hasRelatedWork W9362070 @default.
- W2968082143 isParatext "false" @default.
- W2968082143 isRetracted "false" @default.
- W2968082143 magId "2968082143" @default.
- W2968082143 workType "book-chapter" @default.