IEEE

Enhancing Lung Cancer Classification Using CNN and SVM Methods

As one of the most common and deadly types of cancer in the world, lung cancer continues to pose a serious threat to both healthcare systems and researchers. The prognosis of lung cancer patients ...
IEEE

Automatic Postharvest Corn Quality Classification Using CNN: A Comparative Study of ResNet50 and VGG16

Abstract: Corn is one of the essential agricultural commodities that contributes significantly to food security. The conventional manual methods for assessing corn quality are often subjective, ...
IEEE

Human Age Group Classification Using CNN and Vision Transformer-Based Feature Extraction

Abstract: The human face reveals significant information about an individual’s identity, age, gender, emotion, and ethnicity. In face-to-face communication, age plays a vital role, influencing ...
IEEE

Image Classification using Quantum Convolutional Neural Network (QCNN)

Abstract: Convolutional Neural Networks (CNNs) are extensively utilized for image classification due to their ability to exploit data correlations effectively. However, traditional CNNs encounter ...
IEEE

Deep Learning for Skin Cancer Detection: Multi-Class Lesion Classification Using CNN Architecture

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
IEEE

Implementation of Brain Tumor Detection and Classification Model Using CNN Approach

Abstract: Unless diagnosed and treated early, brain tumors unusual growths may prove to be lethal. Even with the standard methods, such as MRI scans, to precisely diagnose brain cancers, it may be ...
GitHub

CATS VS DOGS IMAGE CLASSIFICATION USING CNN

+This project focuses on building a Convolutional Neural Network (CNN) using Keras (TensorFlow backend) to classify images into two categories: Dog and Cat. + +The objective is to learn meaningful ...
IEEE

Classification of Eye Diseases Using CNN on Fundus Images

Abstract: Eye diseases represent a critical global health concern, affecting approximately 2.2 billion individuals with visual impairments or blindness and underscoring the urgent need for accessible ...
IEEE

Efficient Brain Tumor Classification Using CNN with Self-Attention Mechanisms

Abstract: Brain tumors are difficult to diagnose and can be fatal; thus, accurate and effective methods are badly needed. To overcome several difficulties in this sector, novel methods for brain tumor ...
Hosted on MSN

Image classification with CNNs in Keras | Easy guide

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
IEEE

Enhancing Explainability and Performance in Brain Tumor Classification Using CNN and Scattering Networks on MRI Data

Abstract: This paper proposes an interpretable and accurate approach to brain tumor classification using MRI data by comparing Convolutional Neural Networks (CNNs) with Scattering Networks (ScatNet).