Chapter 26: Kidney images classification using Deep Learning
845 بار بازدید -
3 سال پیش
-
This video will explain how
This video will explain how train and test Kidney images for young and adult human, this is binary classification using Deep Learning.
Deep Learning for Tumor Detection and Localization
In this video, you'll learn how to implement a deep learning program to detect and localize tumors using MRI images. We will cover everything from understanding the problem statement and business case to training and assessing both classifier and segmentation models. This comprehensive guide will help you grasp the concepts of convolutional neural networks, ResNets, and ResUNet models.
#### Key Topics Covered:
- Understand the Problem Statement and Business Case
- Import Libraries and Datasets
- Perform Data Visualization
- Plot 12 Randomly Selected MRI Images and Corresponding Masks
- Understand Convolutional Neural Networks and ResNets
- Train a Classifier Model to Detect if Tumor Exists or Not
- Assess Trained Model Performance
- Print Out the Classification Report
- Understand the Theory and Intuition Behind ResUNet Models
- Build a Segmentation Model to Localize Tumor
- Train a Segmentation ResUNet Model to Localize Tumor
- Assess Trained Segmentation ResUNet Model Performance
- Run All Code Segments
- Understand the Theory and Intuition Behind Transfer Learning
#### Hashtags:
#DeepLearning #PythonProgramming #MachineLearning #AI #DataScience #NeuralNetworks #TumorDetection #MedicalImaging #ResNet #ResUNet #TransferLearning #TechTutorial #BeginnerFriendly
Keeping in mind the dataset is not Downloaded but collected from local hospitals....
0:10 Introduction about project
0:44 How to upload dataset on Kaggle
5:38 Import your local dataset in Kaggle Notebook
7:19 Inherit young kidney images dataset in Notebook
8:52 Create and Run Model for certain images
10:12 Running all Epochs
11:05 Explanation of different Models
16:35 Graph between validation and test
17:49 Testing the model for Young Kidney image
18:17 100% accuracy while testing the model for adult Kidney image
Code Source Link:
https://github.com/sachin365123/examw...
Blog Link:
https://sachinplacement.blogspot.com/...
All Python codes have been successfully executed on Kaggle
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Deep Learning for Tumor Detection and Localization
In this video, you'll learn how to implement a deep learning program to detect and localize tumors using MRI images. We will cover everything from understanding the problem statement and business case to training and assessing both classifier and segmentation models. This comprehensive guide will help you grasp the concepts of convolutional neural networks, ResNets, and ResUNet models.
#### Key Topics Covered:
- Understand the Problem Statement and Business Case
- Import Libraries and Datasets
- Perform Data Visualization
- Plot 12 Randomly Selected MRI Images and Corresponding Masks
- Understand Convolutional Neural Networks and ResNets
- Train a Classifier Model to Detect if Tumor Exists or Not
- Assess Trained Model Performance
- Print Out the Classification Report
- Understand the Theory and Intuition Behind ResUNet Models
- Build a Segmentation Model to Localize Tumor
- Train a Segmentation ResUNet Model to Localize Tumor
- Assess Trained Segmentation ResUNet Model Performance
- Run All Code Segments
- Understand the Theory and Intuition Behind Transfer Learning
#### Hashtags:
#DeepLearning #PythonProgramming #MachineLearning #AI #DataScience #NeuralNetworks #TumorDetection #MedicalImaging #ResNet #ResUNet #TransferLearning #TechTutorial #BeginnerFriendly
Keeping in mind the dataset is not Downloaded but collected from local hospitals....
0:10 Introduction about project
0:44 How to upload dataset on Kaggle
5:38 Import your local dataset in Kaggle Notebook
7:19 Inherit young kidney images dataset in Notebook
8:52 Create and Run Model for certain images
10:12 Running all Epochs
11:05 Explanation of different Models
16:35 Graph between validation and test
17:49 Testing the model for Young Kidney image
18:17 100% accuracy while testing the model for adult Kidney image
Code Source Link:
https://github.com/sachin365123/examw...
Blog Link:
https://sachinplacement.blogspot.com/...
All Python codes have been successfully executed on Kaggle
Other videos:
Top 8 datasets useful for Machine Learning Projects:Top 8 datasets useful for Machine Lea...
Machine Learning & Data Science simulators:
Top Machine Learning & Data Science s...
Free Certificate from Atal Academy #Atal: Free Certificate from Atal Academy #Atal to earn
Free Certificate from #Kaggle:
How to earn Free Certificate from #Ka...
Get started with Orange: a Data Science tool:
Get started with Orange: a Data Scien...
Learn GUI based Orange Machine Learning tool #machine #learning #datascience #python:
Learn GUI based Orange Machine Learni...
Image Classification wid GUI based Orange Machine Learning tool #MachineLearning #DataScience #Orang::
Image Classification wid GUI based Or...
For any Query mail me at: [email protected]
Official Facebook Page: Facebook: coer1999unpl..
Personal Facebook Page: Facebook: sachin36500081
Linkedin Profile: LinkedIn: sachin-sa..
More Designing Concepts: LinkedIn: sachin-sa.
Learn CorelDRAW in Hindi: Lecture 1- Text Editor
Text Editor : Learn CorelDRAW in Hind...
Learn CorelDRAW in Hindi: Lecture 2- Image with Text
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3 سال پیش
در تاریخ 1400/07/15 منتشر شده
است.
845
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