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Name: Sunil Varma Patchamatla
Type: User
Location: Hyderabad
Name: Sunil Varma Patchamatla
Type: User
Location: Hyderabad
This project aims to develop a convolutional neural network (CNN) model to detect COVID-19 from chest X-ray images. The model classifies X-ray images into two categories: Normal and COVID-19. The primary goal is to assist in the early and accurate detection of COVID-19, which is crucial for timely treatment and containment of the virus.
This project explores image similarity using a Convolutional Neural Network (CNN) in a Siamese network. The goal is to determine whether two images are similar or dissimilar. The project involves manually collecting and preparing a dataset of image pairs (similar and dissimilar) and training a Siamese network to learn the similarity function.
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