Build machine learning image classifiers and summarize large image datasets from the Imaging FlowCytobot (IFCB)

This comprehensive collection covers everything from the foundational basics to advanced techniques related to MATLAB. I will try to cover the basic introduction, looping, plotting, image processing, and some concepts of machine learning.

Stochastic Quasi-Newton Methods in a Trust Region Framework (MATLAB implementation)

High-throughput detection and enumeration of tumor cells in blood using Digital Holographic Microscopy (DHM) and Deep Learning.

Machine and Reinforcement Learning at Lunds University

Islolates notes/symbol on a music sheet for machine learning

This example shows how to call a TensorFlow model from MATLAB using co-execution with Python.

This is about my project in Image Classification focus to Pattern Recognition about Cirebon Mask Classification in MATLAB. You can check how to using the model dataset and classification model data with MATLAB.

Alzheimer's Disease Classification Research performed at University of Cagliari in 2020.

University Image-Processing Project and Report using MatLab to filter, optimize and perform image-recognition on red blood cells, white blood cells, and bacteria for use in medical imaging.

Implemented forward pass of Convolution Neural Network (CNN) for classifying images in CIFAR-10 dataset.

The aim of project is detecting the type of disease eye suffers from by using fundus images. The majority of the identification models in use exclusively concentrate on one particular ocular disease. Therefore, My goal was to create a model for automatically classifying many ocular diseases using fundus photos as input and reporting disease type.

A data pipeline for image classification between benign and malignant skin lesions

A computer vision application that retrieves the most similar video frames to selected image/object/character

Detection of Rashes using Image Processing in matlab

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

CoinCat ist eine in Matlab geschriebene Software, die dazu dient, kleinere Münzgeldmengen zusammenzuzählen und mit verschiedenen Kriterien zu filtern. Durch ein eigens trainiertes neurales Netzwerk werden Münzen erkannt und einem entsprechenden Wert zugewiesen.

recognize soft drinks/soda with (MATLAB) DeepLearning

This package provides code and datafiles necessary to classify model output of atmospheric aerosol chemical composition into aerosol types. This algorithm is proprietary software owned by North Carolina State University, Raleigh NC (however, the source code is provided until I am forced to take it down). Contact kwdawson@ncsu.edu to use