Vision
Microscopic Image Analysis Research Group (MIARG) was established on January 13th 2013 with the aim to aid medical doctors for the more accurate diagnosis of diseases related to the field of pathology (microscopic diagnostics) by developing systems which are based on image processing techniques. This research group has provided facilities for students and researchers for development of microscopic-image-based software in the School of Advanced Technologies in Medicine (AMT). In addition, regular meetings are held at school to provide an effective environment for discussion and exchange between professors and students in the field of microscopic image analysis.
— Design and implementation of image processing algorithms on microscopic images for the more accurate and faster diagnosis of diseases
— Development and improvement of existing methods in the analysis of microscopic images for the diagnosis of leukemia (blood cancer), parasites, Pap smear’s cancers and so on
— Producing microscopic image processing software
Selective Publications:
1- Sarrafzadeh O, Rabbani H, Mehri Dehnavi A, Talebi A. Analyzing features by SWLDA for the classification of HEp-2 cell images using GMM. Pattern Recognition Letters. 2016.
2- Sheikhhosseini M1, Rabbani H, Zekri M, Talebi A. “Automatic diagnosis of malaria based on complete circle-ellipse fitting search algorithm” J Microsc., 252(3):189-203, 2013.
3- Farahi, A., Talebi, A., Rabbani, H.,“Automated border extraction of Leishman bodies in bone marrow samples from patients with visceral leishmaniasis”, Journal of Isfahan Medical School, 32(286), 2014.
4- Sarrafzadeh O, Dehnavi AM. Nucleus and cytoplasm segmentation in microscopic images using K-means clustering and region growing. Adv Biomed Res . Medknow Publications; 2015
5- SAEEDIZADEH Z, MEHRI DEHNAVI A, TALEBI A, RABBANI H, SARRAFZADEH O, VARD A. Automatic recognition of myeloma cells in microscopic images using bottleneck algorithm, modified watershed and SVM classifier. J Microsc. 2016 Jan
6- Sarrafzadeh O, Dehnavi AM, Rabbani H, Ghane N, Talebi A. Circlet based framework for red blood cells segmentation and counting. In: 2015 IEEE Workshop on Signal Processing Systems (SiPS) . IEEE; 2015
7- O Sarrafzadeh, H Rabbani, AM Dehnavi, A Talebi. Detecting different sub-types of acute myelogenous leukemia using dictionary learning and sparse representation, Image Processing (ICIP), 2015
8- O Sarrafzadeh, AM Dehnavi, H Rabbani, A Talebi, A simple and accurate method for white blood cells segmentation using K-means algorithm, Signal Processing Systems (SiPS), 2015
9- Farahi, A., Talebi, A., Rabbani, H.,“Automated border extraction of Leishman bodies in bone marrow samples from patients with visceral leishmaniasis”, Journal of Isfahan Medical School, 32(286), 2014.
10- Sheikhhosseini, M., Rabbani, H., Zekri, M., Talebi A., “Automatic detection of malaria from blood smear microscopic images”, 1st National Conference on Microscopic Studies, Histomorphometry and Stereology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran, 2014.
11- Soltanzadeh, R., Rabbani, H., ” Classification of three types of red blood cells in peripheral blood smear based on morphology”, Signal Processing (ICSP), 2010 IEEE 10th International Conference on, pp:707 – 710 , 2010.
12- Soltanzadeh, R. , Rabbani, H. Talebi, A., “Extraction of Nucleolus Candidate Zone in White Blood Cells of Peripheral Blood Smear Images Using Curvelet Transform”. Comp. Math. Methods in Medicine, 2012.
13- Sarrafzadeh, O., Rabbani, H.,Talebi, A., Yousefi-Banaem, H., “The best features selection for leukocytes classification in blood smear microscopic images” Proceedings of SPIE 2014, California, USA, 2014.
14- Sheikhhosseini, M., Rabbani, H., Zekri, M., Talebi A., “Automatic detection of malaria from blood smear microscopic images”, 1st National Conference on Microscopic Studies, Histomorphometry and Stereology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran, 2014.
15- Farahi, A.,Talebi, A.,Rabbani, H.,Sarrafzadeh, O., “Automatic detection of Leishman bodies in bone marrow samples of patients with visceral leishmaniasis using active contour”, 1st National Conference on Microscopic Studies, Histomorphometry and Stereology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran, 2014.
16- Soltanzadeh, R., Rabbani, H., ” Classification of three types of red blood cells in peripheral blood smear based on morphology”, Signal Processing (ICSP), 2010 IEEE 10th International Conference on, pp:707 – 710 , 2010.
17- Soltanzadeh, R. , Rabbani, H. Talebi, A., “Extraction of Nucleolus Candidate Zone in White Blood Cells of Peripheral Blood Smear Images Using Curvelet Transform”. Comp. Math. Methods in Medicine, 2012.
18- Sheikhhosseini M1, Rabbani H, Zekri M, Talebi A. “Automatic diagnosis of malaria based on complete circle-ellipse fitting search algorithm” J Microsc., 252(3):189-203, 2013.
19- Sarrafzadeh, O., Rabbani, H.,Talebi, A., Yousefi-Banaem, H., “The best features selection for leukocytes classification in blood smear microscopic images” Proceedings of SPIE 2014, California, USA, 2014.
20- Farahi, A.,Talebi, A.,Rabbani, H.,Sarrafzadeh, O., “Automatic detection of Leishman bodies in bone marrow samples of patients with visceral leishmaniasis using active contour”, 1st National Conference on Microscopic Studies, Histomorphometry and Stereology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran, 2014.
21- Momenzadeh,M. MehriDehnavi,A. Talebi,A Sarrafzadeh,O. ‘Automatic recognition of candidiasis in microscopic images of pap smear’,1st National confrences on Microscopic Studies, Histomorphometry and Stereology Research Center, Shiraz University Of Medical Sciences, Shiraz ,Iran,2014
Events
Holding congress and workshop related to the MIAC – (Workshop on introduction to Graphical User Interface (GUI) and commercialization of medical software in MATLAB programming environment in the Faculty of AMT on June, 2013).