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

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Bibliographic Details
Published in:	IEEE Access Vol. 11; pp. 119342 - 119351
Main Authors:	Dina Aboutahoun, Rami Zewail, Keiji Kimura, Mostafa I. Soliman
Format:	Journal Article
Language:	Japanese
Published:	Institute of Electrical and Electronics Engineers (IEEE) 01.01.2023
Subjects:	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
Online Access:	Get full text
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