Fully automated analysis for bone scintigraphy with artificial neural network: usefulness of bone scan index (BSI) in breast cancer

2019 ◽  
Vol 33 (10) ◽  
pp. 755-765 ◽  
Author(s):  
Anri Inaki ◽  
Kenichi Nakajima ◽  
Hiroshi Wakabayashi ◽  
Takafumi Mochizuki ◽  
Seigo Kinuya
Author(s):  
W. Abdul Hameed ◽  
Anuradha D. ◽  
Kaspar S.

Breast tumor is a common problem in gynecology. A reliable test for preoperative discrimination between benign and malignant breast tumor is highly helpful for clinicians in culling the malignant cells through felicitous treatment for patients. This paper is carried out to generate and estimate both logistic regression technique and Artificial Neural Network (ANN) technique to predict the malignancy of breast tumor, utilizing Wisconsin Diagnosis Breast Cancer Database (WDBC). Our aim in this Paper is: (i) to compare the diagnostic performance of both methods in distinguishing between malignant and benign patterns, (ii) to truncate the number of benign cases sent for biopsy utilizing the best model as an auxiliary implement, and (iii) to authenticate the capability of each model to recognize incipient cases as an expert system.


Gene ◽  
2016 ◽  
Vol 580 (2) ◽  
pp. 159-168 ◽  
Author(s):  
Shaik Mohammad Naushad ◽  
M. Janaki Ramaiah ◽  
Manickam Pavithrakumari ◽  
Jaganathan Jayapriya ◽  
Tajamul Hussain ◽  
...  

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