Deep Learning for Chest Radiographs : Computer-Aided Classification
Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into
Uloženo v:
| Hlavní autoři: | , , , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
San Diego, CA :
Elsevier Science
2021.
Paris : Cyberlibris |
| On-line přístup: | Accès Université d'Orléans et IFPM |
| Poznámka: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780323906869.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Deep Learning for Chest Radiographs, Computer-Aided Classification, Yashvi Chandola, Jitendra Virmani, H. S Bhadauria, [et autre], San Diego, CA, Elsevier Science, 2021, 1 vol. (230 p.), 978-03-2390-184-0 |