In agricultural productivity, there is a decrease in crop yield due to tomato leaf disease. An early detection system with high accuracy is needed to address this issue. This study evaluates the performance of a standalone SqueezeNet-based Convolutional Neural Network (CNN) architecture for identifying five tomato leaf...
Breast ultrasound lesion segmentation is a core technical step that supports computer-aided diagnosis of breast diseases and accurate lesion measurement. However, existing segmentation models trained on single-source datasets often suffer from inter-domain distribution shift caused by differences in scanning equipment...
Although segmentation performance remains limited for complex pathological images, particularly in the HRF dataset, the proposed framework demonstrates consistent cross-dataset performance, transparent decision-making, and strong reproducibility, providing an effective alternative when interpretable, training-free reti...
Afrig Aminuddin, M. Miah, Ahmed Adil Nafea et al.· Journal of Computing Theorie...· 0 citations
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