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IEEE4d
BEFNet: A Hybrid CNN-Mamba Architecture for Accurate Skin Lesion Image Segmentation - IEEE Xplore
Accurate image segmentation of skin lesions is crucial for the detection and treatment of skin cancer. Based on the modern state space model Mamba, a novel hybrid CNN-Mamba network (BEFNet) is ...
IEEE9d
Disease Classification in Bell Pepper Plants Based on Deep Learning Network Architecture - IEEE Xplore
In modern days, artificial intelligence plays an important role in every scenario of life. Our economy mainly relies on agriculture, so this backwardness of technology affects the economy. When we are ...
IEEE13d
GlauNet: Glaucoma Diagnosis for OCTA Imaging Using a New CNN Architecture - IEEE Xplore
Glaucoma is a neurodegenerative disease that affects the optic nerve head and causes visual field defect. Current investigations focus on neural component which may overlook other important factors ...
GitHub14d
cnn-model · GitHub Topics · GitHub
The project developed a highly accurate CNN-based model for plant disease detection, achieving perfect performance metrics (1.0 accuracy, precision, recall, F1-score), offering significant benefits ...
IEEE23d
Sparsity Exploration for Structured and Unstructured Weight Formations in CNN Architecture
The Convolutional Neural Network (CNN) is a frequently used algorithm used technique for processing pixel data and visual images. Nevertheless, the utilization of extensive network sizes poses ...
IEEE26d
Food Recognition and Nutrition Estimation using MobileNetV2 CNN architecture and Transfer Learning - IEEE Xplore
A food detection and nutritional analysis project is a cutting-edge tool that allows users to easily identify the nutritional information of different types of food by simply taking a photo of the ...
IEEE26d
ADFormer: Generalizable Few-Shot Anomaly Detection With Dual CNN-Transformer Architecture - IEEE Xplore
This article investigates the potential of dual CNN-Transformer architectures for generalizable few-shot anomaly detection (GFSAD), a practical yet understudied form of anomaly detection (AD). In ...
GitHub26d
cnn-model · GitHub Topics · GitHub
A 🧠 brain tumor classifier using both ⚙️ Custom CNN and 🤖 EfficientNet-B0 to compare conventional and state-of-the-art deep learning models. Built with 🧪 TensorFlow/Keras and tested on an MRI ...
GitHub27d
cnn-keras · GitHub Topics · GitHub
The main objective of this project is to design and implement an automatic classification method, CNN, to classify cardiovascular diseases (CVDs). Diseases covered include Mitral Stenosis (MS), Aortic ...
IEEE27d
Convolutional Neural Networks Based Fire Detection in Surveillance Videos - IEEE Xplore
The recent advances in embedded processing have enabled the vision based systems to detect fire during surveillance using convolutional neural networks (CNNs). However, such methods generally need ...
IEEE29d
Comparing Pretrained Image-Net CNN with a Siamese Architecture for Few-Shot Learning Applications in Radar Systems - IEEE Xplore
Over the years, the increase in electronic devices and innovation towards technological capabilities have resulted in an increase in traffic in the electromagnetic spectrum, thus making it harder for ...