Deep Learning Models for Medical Imaging
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Form:Einzelkauf Download
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Sprache:Englisch
Fr. 86.90
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
07.09.2021
Verlag
Elsevier Science & Techn.Seitenzahl
170 (Printausgabe)
Dateigröße
30637 KB
Sprache
Englisch
EAN
9780128236505
Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or healthcare using two different case studies: a) cytology image analysis and b) coronavirus (COVID-19) prediction, screening, and decision-making, using publicly available datasets in their respective experiments. Of many DL models, custom Convolutional Neural Network (CNN), ResNet, InceptionNet and DenseNet are used. The results follow 'with' and 'without' transfer learning (including different optimization solutions), in addition to the use of data augmentation and ensemble networks. DL models for medical imaging are suitable for a wide range of readers starting from early career research scholars, professors/scientists to industrialists.
- Provides a step-by-step approach to develop deep learning models
- Presents case studies showing end-to-end implementation (source codes: available upon request)
- Provides a step-by-step approach to develop deep learning models
- Presents case studies showing end-to-end implementation (source codes: available upon request)
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