CUDLMC 2020: Computational Analysis and Understanding of Deep Learning for Medical Care: Principles, Methods, and Applications |
Submission link | https://easychair.org/conferences/?conf=cudlmc2020 |
Abstract registration deadline | May 31, 2020 |
Submission deadline | May 31, 2020 |
CUDLMC 2020: Computational Analysis and Understanding of Deep Learning for Medical Care: Principles, Methods, and Applications
Submission Guidelines
All chapters must be original and not simultaneously submitted to another book or journal or conference. The following chapters categories are welcome:
Recommended topics for our Proposed Book (Edited) are:
i. Introduction to Commercial Computer Vision Systems, Deep Learning Models and ItsFramework for e-healthcare systems
ii. Applications and available practical systems for healthcare applications
iii. Issues, Challenges, and Opportunities in the area of Healthcare using, Machine Learningand Deep Learning.
iv. Role of Deep Learning Models in Disease Prediction – with Use cases
v. Role of image processing in Disease Prediction
vi. Mobile Imaging for Bio-medical Applications
vii. Deep Learning Data Analysis in Disease Prediction
viii. Deep Learning Data Analytics for Pharmaceutical Discoveriesix.
ix. Information Retrieval from Medical Data
x. Data Integration and Analytics using PyTorch, Kera, TensorFlow, etc., Tools
xi. Deep Learning Algorithms/ Methods for analysis of data collected using ProbabilisticLatent Semantic Analysis (pLSA), LSA, LDA & lda2Vec.
xii. Efficient Deep Learning Models for healthcare applications like automatic handwrittengeneration, character text generation, colorization of Black and white images, imagecaption generation, and automatic game playing.
xiii. Advanced Reliable and Privacy Preserved Deep Data Analytics for e-Healthcare andMedical Science.
xiv. Preserving Privacy using Genetic Data Analysis/ Genome Data
xv. Detecting Facial Expression and Emotion of Person or analyzing user’s behavior forcuring diseases like mentally disorder, etc.
xvi. Reliable Deep Learning Prediction Systems
xvii. And more related topics to deep learning and heathacre.
Committees
Dr Amit Kumar Tyagi (Editor)
Contact
All questions about submissions should be emailed to ...aktyagi@pec.edu, Contact number: 9487868518