Lightweight Histological Tumor Classification Using a Joint Sparsity-Quantization Aware Training Framework
Dina Aboutahoun,
Rami Zewail,
Keiji Kimura
et al.
Abstract:Cancer decision-making is a complex process that can be exacerbated by the limited availability of oncological expertise. This is particularly true in rural areas and settings with fewer resources. Recently, there has been an interest in the potential of artificial intelligence in reliable computer-aided diagnosis tools in such settings. Nevertheless, the majority of deep learning algorithms are resource hungry in terms of data and storage requirements. In this work, we propose a novel lightweight deep learnin… Show more
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