v1.2: finally found out why the compare function crashed: OpenCV's image hash functions don't like being called concurrently, had to add "pauses" at the right places to circumvent v1.1: added ...
Abstract: Melon cultivation is significantly affected by various leaf diseases that hinder productivity and crop quality. Accurate identification of melon leaf conditions-such as healthy leaves, ...
Diabetic retinopathy is a serious concern for people dealing with diabetes. Detecting diabetic retinopathy poses significant challenges, requiring skilled professionals, extensive manual image ...
Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images
Deep learning shows promising results in extracting useful information from medical images. The proposed work applies a Convolutional Neural Network (CNN) on retinal images to extract features that ...
This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...
A thyroid nodule, which is defined as abnormal growth of thyroid cells, indicates excessive iodine intake, thyroid degeneration, inflammation, and other diseases. Although thyroid nodules are always ...
In this tutorial, we are going to use OpenCV and Deep Learning models to accurately identify the gender and age of a person from a real-time video stream. The deep learning age and gender detector ...
Sushil Ostwal presented on automated ID extraction from scanned documents at the CVDC 2020 conference. Extracting IDs from physical forms is complex and time-consuming, necessitating efficient ...
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