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
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
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.
Package of ImageJ macros for quantification of cardiac histology.
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.
该项目基于gradio、wd1.4、chatglm杂交组合，变相实现图像分析的功能，仅为自己练习Gradio，没有额外价值。
An image analyzer for sorting and pre-processing microstructue images of high temperature ceramic coatings
plant-leaf/root analysis via image quantisation using R and cImg via imager-package.
The repo contains experiments I have done for BioMed Varna.
An automated method for estimating micropillar dislocation induced by C. Elegans worms using bright-field videos & image processing
An image compression-decompression GUI program using MATLAB
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