Udemy – Deep Learning with PyTorch for Medical Image Analysis 2022-11

Published on: 2024-11-29 17:11:12

Categories: 28

Description

Deep Learning with PyTorch for Medical Image Analysis is a training course on Torch foot machine learning library and medical image analysis with deep learning techniques. Careful analysis of medical images and then adopting an appropriate treatment approach based on the information obtained and the doctor’s observations is one of the most important tasks of physicians. Machine-based learning systems are an emerging technology that can help the medical community analyze images and reduce medical errors. Machine learning systems are used in various fields such as cancer diagnosis and segmentation, pneumonia classification, diagnosis of heart disorders such as uncoordinated heart rhythm, etc.

All the courses of this training course are divided into two parts, theoretical and practical, and in the practical part, you will develop and code with the instructor step by step. Machine learning and artificial intelligence in the field of medicine have a long way to go and there are many job opportunities and potentials for professionals in this field.

What you will learn in Deep Learning with PyTorch for Medical Image Analysis

NumPy and its application in machine learning and deep learning
Theory and basis of machine learning based systems
Testing and validating primary data
Evaluation of machine learning algorithms and models
Build a tensor in Pythorch
Convolutional Neural Networks
Familiarity with CT scan images and methods of their interpretation and analysis
Interpretability of network decisions
Familiarity with the cancer and tumor staging process
Work with a variety of formats and data in the field of medical imaging
Construction of artificial neural networks with torch legs
Work with 2D and 3D data and images
Automatic diagnosis and grading of cancer and monitoring its progression

Course specifications

Publisher: Udemy
Instructors: Sergios Gatidis, Marcel Früh, Jose Portilla and Tobias Hepp
Language: English
Level: Advanced
Number of Lessons: 88
Duration: 12 hours 5 minutes

Course topics

Deep Learning with PyTorch for Medical Image Analysis

Deep Learning with PyTorch for Medical Image Analysis Prerequisites

Understanding of Python Basic Topics (data types,loops,functions) also Python OOP recommended

Ideally PyTorch, but not necessarily required

Pictures

Deep Learning with PyTorch for Medical Image Analysis

Deep Learning with PyTorch for Medical Image Analysis Introduction Video

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Installation guide

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Subtitle: English

Quality: 1080p

The 2022/11 version has increased by 1 lesson and 5 minutes in duration compared to 2021/10. The course quality has also been increased from 720p to 1080p and subtitles have been added.