Leaf Disease Detection using Image Processing and Deep Learning
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Updated
Sep 18, 2019 - Python
Leaf Disease Detection using Image Processing and Deep Learning
HDMIA: An Architect for High Demand Medical Image Analysis using Deep Learning
Deep Learning Based Cell Type Classification with Low-Res Brightfield Single Cell Images
A prototype an algorithm to calibrate the CBCT geometry
Upload an ECG image to receive detailed patient information and diagnosis using LLM and generative AI through Streamlit. The image, along with comprehensive diagnosis details, will be displayed, providing insights into heart health.
Simple desktop application for normalization of tensile/compression test data of fiber reinforced composites
Repository containing files associated with ENIGMA diffusion weighted image preprocessing protocol and instructional video series. Designed by Ryan Cali for the 2022 ReproNim Fellowship Project and the Imaging Genetics Center at the University of Southern California. Questions? Reach out to the author: rcali@loni.usc.edu
plant-leaf/root analysis via image quantisation using R and cImg via imager-package.
This Image Analysis Tool is an interactive Python-based application designed to analyze uploaded images. It provides insights such as image dimensions, color channel distribution, pixel intensity, and edge detection. The tool also includes visualizations like histograms and edge maps, making it an excellent choice .
Package of ImageJ macros for quantification of cardiac histology.
An image analyzer for sorting and pre-processing microstructue images of high temperature ceramic coatings
This project aims to design and develop a computer vision-based system that detects whether individuals are wearing face masks in images. Images Face Mask Detection System Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
An image compression-decompression GUI program using MATLAB
The repo contains experiments I have done for BioMed Varna.
ArtBuddy is an AI-powered creative companion that enhances your graphic design workflow. It combines multiple intelligent agents to help you brainstorm ideas, find design inspiration, and refine your creative concepts.
Harvestifyy is a plant disease detection project using CNNs. It automates the identification and classification of plant diseases from images, aiding timely intervention. Built with Python, CNN it offers a scalable, real-time analysis tool for agricultural professionals.
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