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 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-based systems are used in a variety of fields such as cancer diagnosis and segmentation, pneumonia classification, diagnosis of heart disorders such as uncoordinated heart rhythm, and…
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 the Deep Learning with PyTorch for Medical Image Analysis course:
- Pie Name Library (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 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
See Also:
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AbleBits Ultimate Suite for Excel 2021.5.2900.2718 Business
Course specifications
Publisher: Udemi
Instructor: Jose Portilla , Marcel Früh , Sergios Gatidis and Tobias Hepp
Language: English
Level: Advanced
Number of Courses: 87
Duration: 12 hours
Course topics on 2021/11
Prerequisites for Deep Learning with PyTorch for Medical Image Analysis
Understanding of Python Basic Topics (data types, loops, functions) also Python OOP recommended
Ideally PyTorch, but not necessarily required
Deep Learning with PyTorch Course pictures
Deep Learning with PyTorch Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
download link
Download Part 1 – 1 GB
Download Part 2 – 1 GB
Download Section 3 – 970 MB
file password link
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