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私たちの研究貢献と科学論文
Showing 43 publication
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A…
Md Abrar Istiak, MM Mahbubul Syeed, Md Shakhawat Hossain, Mohammad Faisal Uddin, Mahady Hasan, Razib Hayat Khan, Nafis Saami Azad
Scientific Data (Nature) , Vol. 78 (102305)
Precision agriculture and Smart farming have become the essential backbone for sustainable agricultural production by leveraging cutting edge remote sensing and communication …
Region of interest (ROI) selection using vision transformer for automatic analy…
Md Shakhawat Hossain, Galib Muhammad Shahriar, MM Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Shingla Shivam, Suresh Advani
Scientific Reports (Nature) , Vol. 13 (1)
Selecting regions of interest (ROI) is a common step in medical image analysis across all imaging modalities. An ROI is a subset of an …
DeepPoly: deep learning-based polyps segmentation and classification for autono…
Md Shakhawat Hossain, Md Mahmudur Rahman, M Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Md Aulad Hossain, Amel Ksibi, Mona M Jamjoom, Zahid …
IEEE Access , Vol. 11 , pp. 95889-95902
Colorectal cancer (CRC) is the third most common cause of cancer-related deaths in the United States and is anticipated to cause another 52,580 deaths …
Tissue Artifact Segmentation and Severity Assessment for Automatic Analysis usi…
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 …
Review of artifact detection methods for automated analysis and diagnosis in di…
Hossain Shakhawat, Sakir Hossain, Alamgir Kabir, SM Hasan Mahmud, MM Manjurul Islam, Faisal Tariq
This chapter introduces the whole slide imaging system and the major artifacts found in whole slide image (WSI), addresses the challenges of automated analysis …
Automatic grading of invasive breast cancer patients for the decision of therap…
Hossain Shakhawat, Matthew Hanna, Kareem Ibrahim, Rene Serrette, Peter Ntiamoah, Marcia Edelweiss, Edi Brogi, Meera Hameed, Masahiro Yamaguchi, Dara …
This chapter discusses an automatic system designed using whole slide imaging (WSI) and artificial intelligence (AI) technology to grade invasive breast cancer patients enabling …
Smartpoultry: Early detection of poultry disease from smartphone captured fecal…
Md Shakhawat Hossain, Umme Sadia Salsabil, MM Mahbubul Syeed, Md Mahmudur Rahman, Kaniz Fatema, Mohammad Faisal Uddin
The outbreak of chicken disease has been a major concern around the world, as the poultry industry supplies a significant portion of t he …
An iot intensive ai-integrated system for optimized surface water quality profi…
MM Mahbubul Syeed, Md Rajaul Karim, Md Shakhawat Hossain, Kaniz Fatema, Mohammad Faisal Uddin, Razib Hayat Khan
Surface water is heavily exposed to contamination as this water is the ubiquitous source for the majority of water needs. This situation is exaggerated …
Cavit: Early stage dental caries detection from smartphone-image using vision t…
Md Shakhawat Hossain, Md Mahmudur Rahman, MM Mahbubul Syeed, Ummae Hamida Hannan, Mohammad Faisal Uddin, Sahria Bakar Mumu
Caries detection is a routine clinical task in dental practice. If caries are detected at an early stage, non-invasive or micro-invasive treatment such as …
Detection of parkinson’s disease from t2-weighted magnetic resonance imaging sc…
Md Mehedi Hasan, Nazia Alfaz, Md Al Maksud Alam, Ashiqur Rahman, Hossain Md Shakhawat, Shakila Rahman
Parkinson’s disease (PD) is a multifaceted neurode-generative disorder that primarily disrupts voluntary motor movements by causing an excitation-inhibition imbalance in the brain. Approximately 10 …
Real-Time Facemask Detection Using Deep Convolutional Neural Network-Based Tran…
Jakaria Islam Emon, MM Manjurul Islam, Syeda Amina Abedin, Shakhawat Hossain, Rupam Kumar Das
In response to the rapid outbreak of COVID-19, this chapter presents an automated facemask detection technology in a real-time video stream using a deep …
The perception of health professionals in Bangladesh toward the digitalization …
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 …
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Md Abrar Istiak, MM Mahbubul Syeed, Md Shakhawat Hossain, Mohammad Faisal Uddin, Mahady Hasan, Razib Hayat Khan, Nafis Saami Azad
Scientific Data (Nature) , Vol. 78 (102305)
Precision agriculture and Smart farming have become the essential backbone for sustainable agricultural production by leveraging cutting edge remote sensing and communication technologies, meshed with AI driven data processing and decision making approaches. Agricultural segments, such …
Region of interest (ROI) selection using vision transformer for automatic analysis using whole slide images
Md Shakhawat Hossain, Galib Muhammad Shahriar, MM Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Shingla Shivam, Suresh Advani
Scientific Reports (Nature) , Vol. 13 (1)
Selecting regions of interest (ROI) is a common step in medical image analysis across all imaging modalities. An ROI is a subset of an image appropriate for the intended analysis and identified manually by experts. In modern pathology, the …
DeepPoly: deep learning-based polyps segmentation and classification for autonomous colonoscopy examination
Md Shakhawat Hossain, Md Mahmudur Rahman, M Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Md Aulad Hossain, Amel Ksibi, Mona M Jamjoom, Zahid Ullah, Md Abdus Samad
IEEE Access , Vol. 11 , pp. 95889-95902
Colorectal cancer (CRC) is the third most common cause of cancer-related deaths in the United States and is anticipated to cause another 52,580 deaths in 2023. The standard medical procedure for screening and treating colorectal disease is a colonoscopy. …
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 …
Review of artifact detection methods for automated analysis and diagnosis in digital pathology
Hossain Shakhawat, Sakir Hossain, Alamgir Kabir, SM Hasan Mahmud, MM Manjurul Islam, Faisal Tariq
This chapter introduces the whole slide imaging system and the major artifacts found in whole slide image (WSI), addresses the challenges of automated analysis caused by the artifacts, and reviews the existing artifact detection methods. The WSI scanner is …
Automatic grading of invasive breast cancer patients for the decision of therapeutic plan
Hossain Shakhawat, Matthew Hanna, Kareem Ibrahim, Rene Serrette, Peter Ntiamoah, Marcia Edelweiss, Edi Brogi, Meera Hameed, Masahiro Yamaguchi, Dara Ross, Yukako Yagi
This chapter discusses an automatic system designed using whole slide imaging (WSI) and artificial intelligence (AI) technology to grade invasive breast cancer patients enabling therapeutic decisions. This chapter presents an automatic Human epidermal receptor growth factor receptor 2 (HER2) …
Smartpoultry: Early detection of poultry disease from smartphone captured fecal image
Md Shakhawat Hossain, Umme Sadia Salsabil, MM Mahbubul Syeed, Md Mahmudur Rahman, Kaniz Fatema, Mohammad Faisal Uddin
The outbreak of chicken disease has been a major concern around the world, as the poultry industry supplies a significant portion of t he global protein needs. Such an outbreak can cause enormous financial loss to the poultry farmers …
An iot intensive ai-integrated system for optimized surface water quality profiling
MM Mahbubul Syeed, Md Rajaul Karim, Md Shakhawat Hossain, Kaniz Fatema, Mohammad Faisal Uddin, Razib Hayat Khan
Surface water is heavily exposed to contamination as this water is the ubiquitous source for the majority of water needs. This situation is exaggerated by excessive population, heavy industrialization, rapid urbanization, and ad-hoc monitoring. Comprehensive measurement and knowledge extraction …
Cavit: Early stage dental caries detection from smartphone-image using vision transformer
Md Shakhawat Hossain, Md Mahmudur Rahman, MM Mahbubul Syeed, Ummae Hamida Hannan, Mohammad Faisal Uddin, Sahria Bakar Mumu
Caries detection is a routine clinical task in dental practice. If caries are detected at an early stage, non-invasive or micro-invasive treatment such as fillings and a root canal can be effective and thereby invasive treatment and therapies such …
Detection of parkinson’s disease from t2-weighted magnetic resonance imaging scans using efficientnet-v2
Md Mehedi Hasan, Nazia Alfaz, Md Al Maksud Alam, Ashiqur Rahman, Hossain Md Shakhawat, Shakila Rahman
Parkinson’s disease (PD) is a multifaceted neurode-generative disorder that primarily disrupts voluntary motor movements by causing an excitation-inhibition imbalance in the brain. Approximately 10 million people worldwide are affected by PD. However, accurate diagnosis of PD is still challenging …
Real-Time Facemask Detection Using Deep Convolutional Neural Network-Based Transfer Learning
Jakaria Islam Emon, MM Manjurul Islam, Syeda Amina Abedin, Shakhawat Hossain, Rupam Kumar Das
In response to the rapid outbreak of COVID-19, this chapter presents an automated facemask detection technology in a real-time video stream using a deep convolutional neural network based transfer learning mechanism. In the training phase, visual geometry group network …
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 …