Deep Network Design for Medical Image Computing : Principles and Applications
Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound i...
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| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
San Diego, CA :
Elsevier Science
2022.
Paris : Cyberlibris |
| Accès en ligne: | Accès Université d'Orléans et IFPM |
| Note: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780128244036.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Deep Network Design for Medical Image Computing, Principles and Applications, Haofu Liao, S. Kevin Zhou, Jiebo Luo, San Diego, CA, Elsevier Science, 2022, 1 vol. (380 p.), 978-01-2824-383-1 |