Скачать или смотреть Chapter 26: Kidney images classification using Deep Learning

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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