Lightweight Histological Tumor Classification Using a Joint Sparsity-Quantization Aware Training Framework

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Vydané v:	IEEE Access Ročník 11; s. 119342 - 119351
Hlavní autori:	Dina Aboutahoun, Rami Zewail, Keiji Kimura, Mostafa I. Soliman
Médium:	Journal Article
Jazyk:	Japanese
Vydavateľské údaje:	Institute of Electrical and Electronics Engineers (IEEE) 01.01.2023
Predmet:	Algorithm Applications of Deep Learning in Medical Imaging Architectural engineering Artificial intelligence Cancer Imaging Computer science Deep Learning Deep Learning in Medical Image Analysis Electrical engineering. Electronics. Nuclear engineering Engineering Health Sciences histopathology Joint (building) Machine learning medical image analysis Medicine Operating system Physical Sciences Predictive Modeling Process (computing) pruning quantization Quantization (signal processing) Radiology, Nuclear Medicine and Imaging Radiomics in Medical Imaging Analysis TK1-9971 transfer learning Tumor Heterogeneity
ISSN:	2169-3536
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