4 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
HADS-Net:A Hybrid Attention-Augmented Dual-Stream Network with Physics-Informed Augmentation for Breast Ultrasound Image Classification
Chinedu Emmanuel Mbonu, Blessing Nwamaka Iduh, Joseph Ikechukwu Odo +1
Accurate classification of breast ultrasound images into benign, malignant, and normal categories is a critical clinical task complicated by speckle noise, acoustic shadowing, and…
an interpretable vision transformer framework for automated brain tumor classification
Chinedu Emmanuel Mbonu, Tochukwu Sunday Belonwu, Okwuchukwu Ejike Chukwuogo +1
Brain tumors represent one of the most critical neurological conditions, where early and accurate diagnosis is directly correlated with patient survival rates. Manual interpretatio…
An Explorative Analysis of SVM Classifier and ResNet50 Architecture on African Food Classification
Chinedu Emmanuel Mbonu, Kenechukwu Anigbogu, Doris Asogwa +1
Food recognition systems has advanced significantly for Western cuisines, yet its application to African foods remains underexplored. This study addresses this gap by evaluating bo…
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets
Aidar Amangeldi, Angsar Taigonyrov, Muhammad Huzaifa Jawad +1
This study evaluates the trade-offs between convolutional and transformer-based architectures on both medical and general-purpose image classification benchmarks. We use ResNet-18…