T. M. Shahriar Sazzad

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 9

Top Topics

Automated Detection

Top Venues

Trans. Mass Data Anal. Images Signals

Publications

Mohammad Shahjahan Majib, Md. Mahbubur Rahman, T. M. Shahriar Sazzad, Nafiz Imtiaz Khan, Samrat Kumar Dey
VGG-SCNet: A VGG Net-Based Deep Learning Framework for Brain Tumor Detection on MRI Images. IEEE Access 9 (2021)
Babe Sultana, Farzana Rahman, Hasib Ahmed Nesar, T. M. Shahriar Sazzad
A Framework to Figure Out Breast Cancer Cells Using Ultrasound Images. ICCCNT (2020)
T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy
Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis. Trans. Mass Data Anal. Images Signals 7 (1) (2016)
T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy
A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images. MLDM (2016)
T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy
Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis. MDA (2016)
T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy
Type P63 Non-counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis. IV (2016)
T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy
An automated approach to detect human ovarian tissues using type P63 counter stained histopathology digitized color images. BHI (2016)
T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy
Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis. AMDO (2016)
T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy
Type P63 digitized color images performs better identification for ovarian reproductive tissue analysis. IPAS (2016)
T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy
An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images. ICTAI (2015)