The Computer Center is on the second floor of the Physics Department (next to the Physics computer site). This Center provides the following services to the members of the university.
Torkaman Library was established in 1993. It contains a useful combination of specialized and general books, bilingual dictionaries, and specialized and general encyclopedias.
The Education Office comes under the Education and Research Department. Its main job is to manage the educational affairs of the students from registration to graduation.
Institute for Advanced Studies in Basic Sciences (IASBS)
444 Prof. Yousef Sobouti Blvd.,
Zanjan 45137-66731, Iran
Postal Code 45137-66731
F: +98 24 3315 5142
T: +98 24 3315 1000
Room: C101 Earth Dept.
T: +98 24 3315 3875
E: publicrelations[at]iasbs.ac.ir
E: international[at]iasbs.ac.ir
Room: Mathematics Department
T: +98 24 3315 5158
E: iasbs_z[at]iasbs.ac.ir
Institute for Advanced Studies in Basic Sciences (IASBS)
444 Prof. Yousef Sobouti Blvd.,
Zanjan 45137-66731, Iran
Postal Code 45137-66731
F: +98 24 3315 5142
T: +98 24 3315 1000
Room: 160 Physics Dept.
T: +98 24 3315 3875
E: publicrelations[at]iasbs.ac.ir
Room: 158 Mathematics Department
T: +98 24 3315 5158
E: iasbs_z[at]iasbs.ac.ir
The prototype version of an Intelligent Mammogram Assistant System for detecting breast cancer, designed and constructed at the IASBS has now been registered as an invention after passing mandatory tests.
Dr Bahram Sadeghi Bigham, a faculty member of the Department of Computer Science and Information Technology has been able to prepare this system for commercial production using image mining and machine learning methods.
The prototype version of this system called BreCa is capable of analysing a mammogram and reporting on the type of tumour the image might indicate, quite similar to what a human expert might do. Because of its high accuracy and assistance in early detection of breast cancer, BreCa is proposed to be used as a mammogram assistant. The research findings of this study have been published in UAAI-Applied Artificial Intelligence.
The learning part of this system is based on the MIAS breast cancer dataset, which is publicly available to all researchers around the globe. In addition to investment for commercial production, the system needs to be trained using sufficiently large amounts of mammography data together with their exact diagnoses to be able to detect tumours in new images. The main requirement of the research group now for commercialisation is finding images that are taken using modern equipment and their exact diagnoses.
Ms Farzaaneh Moraadkhaani and Mr Meysam Karimi are the main contributors in this research while the views and experiences of other colleagues and physicians and also colleagues from Iran Cancer Institute were employed as well.
Mon, 28 Oct 2019
Developed by the IASBS Computer Centre
