IEEE

Deep Learning-Driven Image Classification of Jellyfish: A CNN Model Approach

Abstract: Rising in importance as an environmental problem, jellyfish blooms impair aquaculture infrastructure, upset marine ecosystems, and reveal human health risks. Good early reaction and ...
AZoRobotics

AI Model Achieves 99.24 % Accuracy in Breast Ultrasound Classification

This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...
Scientific Research Publishing

Hybrid Deep Learning Model for Breast Cancer Classification in Low-Middle Income Countries: A MobileNetV2 and Cubic SVM ()

Breast cancer is one of the major causes of female death in any part of the world, and the burden is highly ...
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

A CNN network for coronary chronic total occlusion state classification using image data

Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
IEEE

Hyperspectral Image Classification using Archimedes Optimized 3D CNN layers

Abstract: Background: Hyperspectral Image (HSI) classification involves analyzing images captured across numerous spectral bands to identify and categorize materials or objects. By exploiting spectral ...
IEEE

Evaluating Lightweight CNN Models with CBAM for Explainable AI Skin Cancer Classification using GradCAM and ScoreCAM

Abstract: Skin cancer continues to be a prevalent and deadly malignancies cancer globally, necessitating early and accurate diagnosis. Lightweight CNN has emerged as effective tools for automated skin ...
IEEE

CNN Driven Framework for Dermatological Image Analysis and Disease Classification

Abstract: Skin diseases pose high challenges in the diagnostic process since they have multiple visual features and overlapping clinical presentation. In this paper, an efficient deep learning ...
IEEE

Hybrid CNN–SVM Model for Early Cancer Detection and Multiclass Tumor Classification Using Biomedical Imaging Data

Abstract: Improving patient survival rates and treatment results depends on early cancer identification and precise classification. In order to improve the efficacy of multiclass tumour classification ...