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T. M. Shahriar Sazzad
T. M. Shahriar Sazzad
Military Institute of Science and Technology (Bangladesh) ; University of Florida (USA)
Verified email at cse.mist.ac.bd - Homepage
Title
Cited by
Cited by
Year
Vgg-scnet: A vgg net-based deep learning framework for brain tumor detection on mri images
MS Majib, MM Rahman, TMS Sazzad, NI Khan, SK Dey
IEEE Access 9, 116942-116952, 2021
1112021
Development of automated brain tumor identification using MRI images
TMS Sazzad, KMT Ahmmed, MU Hoque, M Rahman
2019 International conference on electrical, computer and communication …, 2019
742019
Establishment of an Efficient Color Model from Existing Models for Better Gamma Encoding In Image Processing
TMS Sazzad, S Islam, MMRK Mamun, MZ Hasan
International Journal of Image Processing (IJIP) 7 (1), 90, 2013
222013
An automated detection process to detect ovarian tissues using type P63 digitized color images
TMS Sazzad, LJ Armstrong, AK Tripathy
Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International …, 2015
16*2015
Cryptography and State-of-the-art Techniques
M Ahmed, TMS Sazzad, ME Mollah
(IJCSI) International Journal of Computer Science Issues 9 (2-3), 2012
15*2012
An automated approach to detect human ovarian tissues using type P63 counter stained histopathology digitized color images
TM Sazzad, L Armstrong, A Tripathy
Institute of Electrical and Electronics Engineers Inc., 2016
122016
An image processing framework to identify rice blast
TMS Sazzad, A Anwar, M Hasan, MI Hossain
2020 International Congress on Human-Computer Interaction, Optimization and …, 2020
112020
Gamma encoding on image processing considering human visualization, analysis and comparison
TMS Sazzad, MZ Hasan, F Mohammed, S Islam
(IJCSE) International Journal on Computer Science and Engineering, 2012
7*2012
A Comparative Study of Computerized Approaches for Type P63 Ovarian Tissues Using Histopathology Digitized Color Images
Sazzad TM, Armstrong LJ, Tripathy AK
10th International Conference Computer Graphics, Visualization, Computer …, 2016
6*2016
An Automated Ovarian Tissue Detection Approach Using Type P63 Non-Counter Stained Images to Minimize Pathology Experts Observation Variability
Sazzad TM, Armstrong LJ, Tripathy AK
IEEE-IECBES, 2016
6*2016
Bit Plane Slicing and Quantization-Based Color Image Watermarking in Spatial Domain
M Mustaqim Abrar, A Pal, TM Shahriar Sazzad
Proceedings of International Joint Conference on Advances in Computational …, 2021
52021
A framework to detect brain tumor cells using mri images
MS Majib, TMS Sazzad, MM Rahman
2020 International Congress on Human-Computer Interaction, Optimization and …, 2020
52020
An automated approach to detect breast cancer tissue using ultrasound images
MU Hoque, TMS Sazzad, AKMA Farabi, I Hosen, MA Somi
2019 1st International Conference on Advances in Science, Engineering and …, 2019
52019
Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis
TMS Sazzad, LJ Armstrong, AK Tripathy
Transactions on Mass-Data Analysis of Images and Signals 7, 41-51, 2016
52016
An automated approach to detect human ovarian tissues using type P63 counter stained histopathology digitized color images
TM ShahriarSazzad, LJ Armstrong, AK Tripathy
2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016
52016
Use of gamma encoder on HSL color model improves human visualization in the field of image processing
TMS Sazzad, S Islam
International Journal of Computer Science Engineering (IJCSE) 2 (05), 177 - 182, 2013
5*2013
Type P63 non-counter stained digitized color images performs better identification than other stains for ovarian tissue analysis
TMS Sazzad, LJ Armstrong, AK Tripathy
2016 20th International Conference Information Visualisation (IV), 361-366, 2016
42016
A comprehensive analysis: Automated ovarian tissue detection using type P63 pathology color images
TM Shahriar Sazzad, LJ Armstrong, AK Tripathy
Machine Learning and Data Mining in Pattern Recognition: 12th International …, 2016
42016
Automated detection of lung cancer using MRI images
MM Rahman, TMS Sazzad, FS Ferdaus
2021 3rd International Conference on Sustainable Technologies for Industry 4 …, 2021
32021
A framework to figure out breast cancer cells using ultrasound images
B Sultana, F Rahman, HA Nesar, TMS Sazzad
2020 11th International Conference on Computing, Communication and …, 2020
32020
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