Download Udemy – Deep Learning with PyTorch for Medical Image Analysis

Deep Learning with PyTorch for Medical Image Analysis


Deep Learning with PyTorch for Medical Image Analysis is the course of PyTorch machine learning library and medical image analysis with deep learning techniques. Accurate analysis of medical images and then adopting a suitable treatment approach based on the information obtained and observations is one of the most important duties of doctors. Systems based on machine learning is an emerging technology that can help the medical community in analyzing images and reducing medical errors. Machine learning-based systems are used in various fields such as cancer diagnosis and segmentation, pneumonia classification, diagnosis of heart disorders such as uncoordinated heartbeat rhythm, etc.

All the lessons of this training course are divided into two theoretical and practical parts, and in the practical part you will develop and code step by step with the teacher. Machine learning and artificial intelligence in the field of medicine have a long way ahead of them and there are many opportunities and work potential in this field for specialists.

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

  • NumPy library and its application in machine learning and deep learning
  • Theory and basis of work of machine learning based systems
  • Testing and validation of primary data
  • Evaluation of machine learning algorithms and models
  • Tensor construction in pytorch
  • Convolutional Neural Networks
  • Familiarity with CT scan images and their interpretation and analysis methods
  • Interpretability of network decisions
  • Getting to know cancer and tumor staging process
  • Working with different formats and data in the field of medical imaging
  • Building artificial neural networks with torch feet
  • Work with 2D and 3D data and images
  • Automatic diagnosis and grading of cancer and checking its progress

Course details

Publisher: Yudmi
teacher: Jose Portilla ,Marcel Früh ,Sergios Gatidis And Tobias Hepp
English language
Training level: advanced
Number of courses: 87
Training duration: 12 hours

Course topics on 11/2021

Deep Learning with PyTorch for Medical Image Analysis course prerequisites

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

Ideally PyTorch, but not necessarily required

Course images

Deep Learning with PyTorch for Medical Image Analysis

Course introduction video

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 970 MB

Password file(s):


2.97 GB

4.5/5 – (7734 points)

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