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IEEE2d
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning - IEEE Xplore
Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning ...
IEEE3d
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 ...
IEEE5d
Deep Learning-Based Classification of Areca Nut Yellow Leaf Disease with ResNet-50 CNN - IEEE Xplore
Detecting healthy arecanut leaves, yellow leaf disease in arecanut, and differentiating these from other types of leaves using deep learning involves designing an advanced neural network model for ...