Background Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with ...

Please use one of the following formats to cite this article in your essay, paper or report: APA. Cuffari, Benedette. (2025, April 07). Using Deep Learning for Brain Imaging Data Analysis.

This project implements a CNN for image classification, designed specifically for the CIFAR-10 dataset. The CIFAR-10 dataset contains 60,000 images across 10 different categories (e.g., airplanes, ...

This study evaluates the performance and reliability of a vision transformer (ViT) compared to convolutional neural networks (CNNs) using the ResNet50 model in classifying lung cancer from CT images ...

To solve this problem, the researchers hybridized a CNN with particle swarm optimization (PSO) to find better values for these hyperparameters. PSO was hybridized using genetic algorithm to solve the ...

The Deep Learning Toolbox provided by MATLAB (MathWorks, Natick, MA, USA) was used to design and implement all the deep neural networks of this work. Since image classification is a supervised ...

Then, a CNN with transfer learning technique was developed to extract features for all subjects, which were used to identify epileptic foci from normal control. Finally, 90.8% classification accuracy ...

In this project, I have used dog and cat image dataset to classify whether the image is that of a dog or a cat. There are two way to go about this task- 1) Transfer Learning ie., to use a pretrained ...