Pneumoconiosis identification in chest X-ray films with CNN-based transfer learning

Pneumoconiosis is one of the most universal and severe occupational diseases in the world today. The diagnosis of pneumoconiosis mainly depends on the doctors’ analysis of chest X-ray films. However, diagnostic accuracy is related to a doctor’s expertise. Recent research has suggested that deep conv...

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Veröffentlicht in:	CCF transactions on high performance computing (Online) Jg. 3; H. 2; S. 186 - 200
Hauptverfasser:	Zheng, Ran, Zhang, Lanlan, Jin, Hai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 01.06.2021 Springer Nature B.V
Schlagworte:	3. High Performance Distributed Computing Accuracy Algorithms Artificial neural networks Chest Classification Computer Hardware Computer Science Computer Systems Organization and Communication Networks Datasets Deep learning Identification Image segmentation Lung diseases Machine learning Medical imaging Neural networks Occupational diseases Pneumoconiosis Regular Paper Support vector machines Lung segmentation Transfer learning Pneumoconiosis identification Convolutional neural network
ISSN:	2524-4922, 2524-4930
Online-Zugang:	Volltext
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