IEEE

Brain Cancer MRI Classification using CNN Architectures with Grid Search Enhanced with Coordinate Ascent Optimization

Abstract: Magnetic resonance imaging (MRI) is an important tool for brain cancer diagnosis and classification. Combined with modern convolutional neural network (CNN) technology, it can effectively ...
IEEE

Comparative Analysis of Machine Learning and Deep Learning Models for Land Use Classification: On UC Merced Dataset

Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
IEEE

Explainable Brain Tumor Classification using CNN and GradCAM

Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...
IEEE

Brightness-Enhanced Gastrointestinal Endoscopy Image Classification Using CNN-Based Diagnostic Model

Abstract: This study proposes a framework based on a Cycle-Consistent Generative Adversarial Network (CycleGAN) to improve the image brightness and visual continuity of gastrointestinal (GI) ...
IEEE

Understanding the Phase in Single-Polarization SAR Images: A Ship Classification Study

Abstract: In this article, an in-depth analysis is presented on the role of the phase in the ship classification using single-polarization synthetic aperture radar (SAR) images. To conduct the ...
IEEE

Yoga Pose Classification Using CNN With MobileNet

Abstract: Yoga is an ancient exercise consisting of various postures called asanas. Yoga improves physical, mental and spiritual well-being of the person. Yoga pose classification includes the ...
IEEE

Brain Tumor MRI Images Classification Using Fine-Tuned Deep Learning Models

Abstract: Accurate identification of brain tumors plays a crucial role in diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is one of the used methods in the detection of brain tumors ...
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The animal often mistaken for an insect that defies easy classification

At first glance, this creature is almost always mistaken for an insect. This video explains why that assumption is incorrect and what the animal actually is. By examining anatomy, movement, and ...
IEEE

MRI brain tumor classification using robust Convolutional Neural Network CNN approach

Abstract: During the last decade, the deep learning depending upon the Convolutional Neural Network (CNN) structure has been demonstrated as an efficient approach to classify different objects ...