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About An Open IoHT-based Deep Learning Framework
This document proposes an open IoHT-based deep learning framework for online medical image recognition. It discusses existing technologies like IoT, cloud computing, and deep learning that enable computational intelligence systems. The proposed framework allows users to easily add medical images to an online platform for training models with high accuracy. It was validated on three medical image databases for stroke classification, lung nodule malignancy classification, and skin lesion classification, achieving over 91% accuracy. This framework could significantly help medical professionals analyze complex examinations quickly and accurately through an online collaborative IoT platform.
Detailed Information
| Author: | ['Trisha Das'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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