Medical Imaging

Deploying a Deep Learning Skin Classification App to Google Cloud

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A Step-by-Step Guide In this guide, we’ll walk you through the process of deploying a deep learning skin classification application to Google Cloud Run. Cloud Run is a fully managed platform that automatically scales your containerized applications, making it an ideal choice for deploying machine learning models. Whether you’re a data scientist or a developer, …

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Skin Cancer Classification Web App, Docker, and Azure Cloud

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In this comprehensive blog, we will walk you through the process of creating and deploying a Deep Learning-based image classification project. We will focus on classifying skin cancer images into benign and malignant categories using modern technologies. The journey will cover training a deep learning model, building a Flask web application, managing version control with …

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Diagnosis for prediction of knee osteoarthritis using deep learning

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In this blog, we learn how to diagnosis the prediction of X-rays knee classification using Convolutional neural network and then deploy the model using Web-based Flask application. Diagnosis for the prediction of knee osteoarthritis using deep learning techniques. The dataset consists of 1650 digital X-ray images of knee joint which are collected from well reputed …

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Computer Vision in Healthcare and Medicine

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What Is Computer Vision? Computer vision is a technology based on image processing and synthesis. It usually involves machine learning/deep learning and allows AI to simulate human vision. This technology aims to save time by automating manual image analysis and achieving a higher level of accuracy. For this purpose, an algorithm is fed with avast …

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Medical Imaging

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In this post, we will be looking at what is medical imaging, the different applications and use-cases of medical imaging, how artificial intelligence and deep learning are aiding the healthcare industry towards early and more accurate diagnosis. We will review literature about how machine learning is being applied in different spheres of medical imaging and …

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