- Titulinis
- Dalykinė ir mokslinė literatūra
- Technologijos mokslai
- Deep Learning Models for Medical Imaging
Deep Learning Models for Medical Imaging
ISBN: 9780128235041
Autorius : Swarnendu Ghosh
Leidimo metai: 2021
Leidėjas: Academic Press
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9.25×7.5
Autorius : Swarnendu Ghosh
Leidimo metai: 2021
Leidėjas: Academic Press
Leidinio kalba: Anglų
Formatas: Minkšti viršeliai
Formatas: 9.25×7.5
Aprašymas
<i>Deep Learning Models for Medical Imaging</i> 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.
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