Publications

Tissue Artifact Segmentation and Severity Assessment for Automatic Analysis using Whole Slide Image

Md Shakhawat Hossain, Galib Muhammad Shahriar, MM Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Md Sakir Hossain, Rubina Bari

IEEE Access , Vol. 11 , pp. 21977-21991

Traditionally, pathological analysis and diagnosis are performed by manually eyeballing glass-slide specimens under a microscope by an expert. The whole slide image (WSI) is the digital specimen produced from the glass slide. WSI enabled specimens to be observed on …

The perception of health professionals in Bangladesh toward the digitalization of the health sector

Md Shakhawat Hossain, MM Mahbubul Syeed, Kaniz Fatema, Mohammad Faisal Uddin

International Journal of Environmental Research and Public Health , Vol. 19 (20)

Bangladesh is undertaking a major transformation towards digitalization in every sector, and healthcare is no exception. Digitalization of the health sector is expected to improve healthcare services while reducing human effort and ensuring the satisfaction of patients and health …

Aedes Larva Detection Using Ensemble Learning to Prevent Dengue Endemic

Md Shakhawat Hossain, Md Ezaz Raihan, Md Sakir Hossain, MM Mahbubul Syeed, Harunur Rashid, Md Shaheed Reza

BioMedInformatics , Vol. 2 (3)

Dengue endemicity has become regular in recent times across the world. The numbers of cases and deaths have been alarmingly increasing over the years. In addition to this, there are no direct medications or vaccines to treat this viral …

Android ransomware detection from traffic analysis using metaheuristic feature selection

Md Sakir Hossain, Naim Hasan, Md Abdus Samad, Hossain Md Shakhawat, Joydeep Karmoker, Foysol Ahmed, KFM Nafiz Fuad, Kwonhue Choi

IEEE Access , Vol. 10 , pp. 128754-128763

Among the prevalent cyberattacks on Android devices, a ransomware attack is the most common and damaging. Although there are many solutions for detecting Android ransomware attacks, existing solutions have limited detection accuracy and high computational complexity. This paper proposes …

Singular Nuclei Segmentation for Automatic HER2 Quantification Using CISH Whole Slide Images

Md Shakhawat Hossain, MM Mahbubul Syeed, Kaniz Fatema, Md Sakir Hossain, Mohammad Faisal Uddin

Sensors , Vol. 22 (19)

Human epidermal growth factor receptor 2 (HER2) quantification is performed routinely for all breast cancer patients to determine their suitability for HER2-targeted therapy. Fluorescence in situ hybridization (FISH) and chromogenic in situ hybridization (CISH) are …

Automatic quality evaluation of whole slide images for the practical use of whole slide imaging scanner

Hossain Md Shakhawat, Tomoya Nakamura, Fumikazu Kimura, Yukako Yagi, Masahiro Yamaguchi

ITE Transactions On Media Technology And Applications , Vol. 8 (4) , pp. 252-268

A whole slide imaging (WSI) scanner scans pathological-specimens to produce digital images for monitor-based diagnosis and analysis. However, the image quality is sometimes insufficient due to focus-error or noise, in which case the slide needs to be rescanned. In …

Automatic quantification of HER2 gene amplification in invasive breast cancer from chromogenic in situ hybridization whole slide images

Md Shakhawat Hossain, Matthew G Hanna, Naohiro Uraoka, Tomoya Nakamura, Marcia Edelweiss, Edi Brogi, Meera R Hameed, Masahiro Yamaguchi, Dara S Ross, Yukako Yagi

Journal of Medical Imaging , Vol. 6 (4)

Human epidermal growth factor receptor 2 (HER2), a transmembrane tyrosine kinase receptor encoded by the ERBB2 gene on chromosome 17q12, is a predictive and prognostic biomarker in invasive breast cancer (BC). Approximately 20% of BC are HER2-positive as a result of ERBB2 gene …

Practical image quality evaluation for whole slide imaging scanner

Md Shakhawat Hossain, Toyama Nakamura, Fumikazu Kimura, Yukako Yagi, Masahiro Yamaguchi

Whole slide imaging (WSI) scanner scans pathological specimens to produce digital slides to use in pathology practice, research, and computational pathology, which enables monitor-based diagnosis and image analysis. However, the scanned image is sometimes insufficient in quality, such as focusing …