Deep Learning Models for Medical Imaging

This book PDF is perfect for those who love Computers genre, written by KC Santosh and published by Academic Press which was released on 07 September 2021 with total hardcover pages 172. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Deep Learning Models for Medical Imaging books below.

Deep Learning Models for Medical Imaging
Deep Learning Models for Medical Imaging
Author : KC Santosh
File Size : 50,9 Mb
Publisher : Academic Press
Language : English
Release Date : 07 September 2021
ISBN : 9780128236505
Pages : 172 pages
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Deep Learning Models for Medical Imaging by KC Santosh Book PDF Summary

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)

Deep Learning Models for Medical Imaging

Deep Learning Models for Medical Imaging by KC Santosh,Nibaran Das,Swarnendu Ghosh

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

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Deep Learning in Medical Image Analysis

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Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best. After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased

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Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular

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The recent advancements in the machine learning paradigm have various applications, specifically in the field of medical data analysis. Research has proven the high accuracy of deep learning algorithms, and they have become a standard choice for analyzing medical data, especially medical images, video, and electronic health records. Deep learning

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