Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

Learn how to deal with class imbalance and noise in SVM for image classification. Discover how to use weighted or robust SVM, resample or preprocess your data, evaluate and optimize your model ...

We propose a Hybrid Quantum Classical Algorithm (HQCA) for image classification using a Quantum Kernel which is efficient to produce than a traditional kernel for performing the kernel trick required ...

Support Vector Machines (SVM) is a popular classification algorithm that can be used for binary and multiclass classification. SVM finds the optimal hyperplane that best separates the data into ...

Support vector machine has been applied in various fields, such as text classification, bioinformatics, image processing, cancer identification, handwritten character recognition, and so on.

Keywords: genetic folding algorithm, evolutionary algorithms, lung cancer, classification, genetic programming, support vector machine Citation: Mezher MA, Altamimi A and Altamimi R (2022) A Genetic ...

This repo contains the code to perform a simple image classification task using Python and Machine Learning. We will apply global feature descriptors such as Color Histograms, Haralick Textures and Hu ...