Effectiveness of Learning Systems from Common Image File Types to Detect Osteosarcoma Based on Convolutional Neural Networks (CNNs) Models

Effectiveness of Learning Systems from Common Image File Types to Detect Osteosarcoma Based on Convolutional Neural Networks (CNNs) Models

Osteosarcoma is a rare bone cancer which is more common in children than in adults and has a high chance of metastasizing to the patient’s lungs. Due to initiated cases, it is difficult to diagnose and hard to detect the nodule in a lung at the early state. Convolutional Neural Networks (CNNs) are e...

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Bibliographic Details
Main Authors: Chanunya Loraksa, Sirima Mongkolsomlit, Nitikarn Nimsuk, Meenut Uscharapong, Piya Kiatisevi
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Journal of Imaging
Subjects:
osteosarcoma
bone cancer
Convolutional Neural Networks
common image file
computer-aided diagnosis
Online Access:https://www.mdpi.com/2313-433X/8/1/2

Internet

https://www.mdpi.com/2313-433X/8/1/2

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