End-to-End Deep Learning Tutorial for Image Classification: Pneumonia Detection from Chest X-Ray Scans
Keywords: Deep learning, Medical image analysis, Image classification
TL;DR: This is a beginner friendly tutorial provides an introductory guide to deep learning, focusing on building a Convolutional Neural Network (CNN) to classify chest X-ray images for detecting pneumonia.
Abstract: This tutorial serves as an educational resource for beginners in deep learning, guiding them through the process of building a Convolutional Neural Network (CNN) for medical image classification. The specific task is to classify chest X-ray images to detect pneumonia using the publicly available MedMNIST dataset. The tutorial covers all essential steps, including data acquisition, preprocessing, model building, training, and evaluation. Through a hands-on approach, users will learn to implement deep learning techniques using TensorFlow and Keras, gain insights into the workings of CNNs, and understand the challenges involved in medical image classification. By the end of the tutorial, users will have developed a functional model that can assist in automating the diagnosis of pneumonia, offering valuable experience in both the technical and practical aspects of deep learning.
Website: https://colab.research.google.com/drive/12T1Lavr3RqdJWOfeQ7-QIjPPUj2fcdYD?usp=sharing
Submission Number: 20
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