We propose MedNet, a lightweight and efficient CNN architecture that integrates depthwise separable convolutions and CBAM to improve classification accuracy on medical image datasets. We design a ...
High-performance scene classification in remote sensing imagery using a custom deep CNN architecture
Object detection in remote sensing imagery plays a vital role across various fields, including industrial monitoring, agricultural assessment, and military surveillance (D’Acremont et al., 2019) 1.
Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...
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