↓ Skip to main content
What is this page? Embed badge

Deep Learning Applications

Overview of attention for book
Cover of 'Deep Learning Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Trends in Deep Learning Applications
  3. Altmetric Badge
    Chapter 2 Quasi-Newton Optimization Methods for Deep Learning Applications
  4. Altmetric Badge
    Chapter 3 Medical Image Segmentation Using Deep Neural Networks with Pre-trained Encoders
  5. Altmetric Badge
    Chapter 4 Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease
  6. Altmetric Badge
    Chapter 5 Detecting Work Zones in SHRP2 NDS Videos Using Deep Learning Based Computer Vision
  7. Altmetric Badge
    Chapter 6 Action Recognition in Videos Using Multi-stream Convolutional Neural Networks
  8. Altmetric Badge
    Chapter 7 Deep Active Learning for Image Regression
  9. Altmetric Badge
    Chapter 8 Deep Learning Based Hazard Label Object Detection for Lithium-ion Batteries Using Synthetic and Real Data
  10. Altmetric Badge
    Chapter 9 Enabling Robust and Autonomous Materialhandling in Logistics Through Applied Deep Learning Algorithms
Attention for Chapter 4: Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease
Altmetric Badge

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
14 Mendeley
Summary Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease
Chapter number 4
Book title
Deep Learning Applications
Published by
Springer, Singapore, February 2020
DOI 10.1007/978-981-15-1816-4_4
Book ISBNs
978-9-81-151815-7, 978-9-81-151816-4
Authors

Shuqiang Wang, Hongfei Wang, Albert C. Cheung, Yanyan Shen, Min Gan, Wang, Shuqiang, Wang, Hongfei, Cheung, Albert C., Shen, Yanyan, Gan, Min

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 7%
Student > Bachelor 1 7%
Student > Postgraduate 1 7%
Student > Master 1 7%
Unknown 10 71%
Readers by discipline Count As %
Engineering 2 14%
Psychology 1 7%
Unknown 11 79%

This page is provided by Altmetric.