Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Biomedical Image Processing / Medical Image Processing
Lung cancer diagnosis from CT scan images using deep learning and transfer learning methods

Kambiz Rahbar; Fatemeh Taheri

Volume 17, Issue 2 , September 2023, , Pages 161-170

  Lung cancer is caused by the irregular and uncontrolled growth of cancer cells in the lung tissue. Cancer cells find the ability to divide and increase in an irregular and uncoordinated manner. The result of this proliferation is the formation of a cancerous mass in the lung. Lung cancer can start in ...  Read More

Biomedical Image Processing / Medical Image Processing
Fuzzy Inference System in Pre-processing to Improve Stroke Lesion Segmentation using U-net Deep Neural Network

Mohammad Mahdi Alimoradi; Mohammad Bagher Khodabakhshi; Shahriar Jamasb

Volume 17, Issue 1 , May 2023, , Pages 61-70

  Stroke is one of the causes of death and the main cause of disability in developed countries. Normally, identification of stroke lesions is done by magnetic imaging, and its analysis requires the continuous presence of a doctor in the treatment center. Therefore, intelligent processing of medical images ...  Read More

Biomedical Image Processing / Medical Image Processing
Brain Tumor Detection using Fusion of MRI and CT Scan Images based on Deep Learning Feature Extraction Methods

Dorsa Jafarkhah Seighalani; Mehran Yazdi; Mohammad Faghihi

Volume 14, Issue 4 , February 2021, , Pages 267-276

  Cancer is one of the most common diseases at the present time. Among different types of this disease, brain cancer has a high fatality rate and accurate and timely diagnosis of it, can have a major impact on the patient’s life. Doctors need MRI and CT scan of brain to diagnose this condition. A ...  Read More

Neural Network / Biological & Artificial Neural Network / BNN & ANN
Blood Glucose Level Prediction for Type 1 Diabetes using Deep Learning

Seyedeh Sadaf Razavinezhad; Amir mohammad Fallah; Seyed Abolghasem Mirroshandel

Volume 14, Issue 4 , February 2021, , Pages 307-320

  Diabetes is a common disease all around the world. It is a difficult and incurable but controllable disease, so it is important to control and prevent its complications. Thus, low error and smart methods are used to predict blood glucose levels and prevent dangerous complications to control it effectively. ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Designing a Deep Fuzzy Rule-Based System for Depression Staging

Raheleh Davoodi; Mohammad Hasan Moradi

Volume 12, Issue 1 , June 2018, , Pages 25-39

  Depression is one of the most common mental disorders in the current century where early diagnosis can result in better treatment. One of the depression diagnostic methods is the analysis of the brain electrical signals. In this paper, we are seeking for a method to distinguish among the levels of the ...  Read More