scholarly journals Efficient Deep-Learning-Based Autoencoder Denoising Approach for Medical Image Diagnosis

2022 ◽  
Vol 70 (3) ◽  
pp. 6107-6125
Author(s):  
Walid El-Shafai ◽  
Samy Abd El-Nabi ◽  
El-Sayed M. El-Rabaie ◽  
Anas M. Ali ◽  
Naglaa F. Soliman ◽  
...  
2014 ◽  
Vol 543-547 ◽  
pp. 2901-2904
Author(s):  
Wen Bo Huang ◽  
Yun Ji Wang

In order to deal with the complexity and uncertainty in medical image diagnosis of osteosarcoma, we proposed a new method based on Bayesian network, and first applied it to recognize osteosarcoma. A new multidimensional feature vector composed of both biochemical indicator and the quantized image features is defined and used as input to the Bayesian network, so as to establish a more accurate and reliable osteosarcoma recognition probability model. Experimental results demonstrate the effective of our method, there are 50 training samples and 30 testing samples, and the accuracy is up to 86.67%, which close to the expert diagnosis.


Author(s):  
Marcela Xavier Ribeiro ◽  
Agma Juci Machado Traina ◽  
Caetano Traina Jr ◽  
Natalia Abdala Rosa ◽  
Paulo Mazzoncini de Azevedo Marques

2007 ◽  
Vol 2007 (0) ◽  
pp. 155-156
Author(s):  
Kazuya Kubo ◽  
Hironobu Satoh ◽  
Yuhki Shiraishi ◽  
Fumiaki Takeda ◽  
Keiji Inoue

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