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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Deep Learning Models for Medical Imaging

Deep Learning Models for Medical Imaging

Das, Nibaran
Ghosh, Swarnendu

Paperback

Series: Primers in Biomedical Imaging Devices and Systems

General Computers

ISBN10: 0128235047
ISBN13: 9780128235041
Publisher: Academic Press
Published: Sep 8 2021
Pages: 170
Weight: 0.67
Height: 0.37 Width: 7.50 Depth: 9.25
Language: English
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.

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