Publications
Our research contributions and scientific publications
Showing 45 publication
Ripen Banana Dataset: A Comprehensive Resource for Carbide Detection and Ripeni…
Elman Alam, Md Tarequl Islam, Ishrat Zahan Raka, Onamika Sarkar Ritu, Md Shakhawat Hossain, Wahidur Rahman, Rahat Khan
Data in Brief , Vol. 60
We introduce the “Ripen Banana” dataset, a newly developed collection featuring two distinct classes of ripen banana images: carbide and non-carbide. The dataset contains …
A Comprehensive Dataset of Surface Water Quality Spanning 1940-2023 for Empiric…
Md Rajaul Karim, MM Mahbubul Syeed, Ashifur Rahman, Khondkar Ayaz Rabbani, Kaniz Fatema, Razib Hayat Khan, Md Shakhawat Hossain, Mohammad Faisal Uddin
Scientific Data (Nature) , Vol. 12 (1)
Assessment and monitoring of surface water quality are essential for food security, public health, and ecosystem protection. Although water quality monitoring is a known …
Predicting the effect of Bevacizumab therapy in ovarian cancer from H&E whole s…
Md Shakhawat Hossain, Munim Ahmed, Md Sahilur Rahman, MM Mahbubul Syeed, Mohammad Faisal Uddin
Intelligence-Based Medicine , Vol. 11 (100231)
Ovarian cancer (OC) ranks fifth in all cancer-related fatalities in women. Epithelial ovarian cancer (EOC) is a subclass of OC, accounting for 95 % of …
AnxPred: A Hybrid CNN-SVM Model with XAI to Predict Anxiety among University St…
Md. Rajaul Karim, MM Mahbubul Syeed, Kaniz Fatema, Md. Shakhawat Hossain, Razib Hayat Khan and Mohammad Faisal Uddin
Perceived anxiety is a prevalent issue among university students, negatively affecting both mental health and academic outcomes. Prompt evaluation of anxiety triggered by academic factors …
Automated Gleason Grading of Prostate Cancer from Low-Resolution Histopathology…
Md Shakhawat Hossain, Md Sahilur Rahman, Munim Ahmed, Anowar Hussen, Zahid Ullah, Mona Jamjoom
Computers, Materials & Continua
One in every eight men in the US is diagnosed with prostate cancer, making it the most common cancer in men. Gleason grading is …
Ensemble of Deep Learning Models to Select Ovarian Cancer Patients for Bevacizu…
Md Sahilur Rahman; Munim Ahmed; Md Shakhawat Hossain; MM Mahbubul Syeed; Mohammad Faisal Uddin
Bevacizumab monoclonal therapy, in combination with chemotherapy, is an FDA-approved treatment for ovarian cancer (OC), particularly for patients with epithelial ovarian cancer (EOC) patients. …
SmartFarming: Lumpy Skin Disease Detection from Smartphone-captured Cattle Imag…
Sharmin Islam Shroddha; Sanjana Raquib Bijoya; Towsif Ahmed; Umme Rumman Chaity; Md Shakhawat Hossain; M M Mahbubul Syeed
Lumpy skin disease, commonly known as LSD, poses a significant threat to cattle health, welfare and the livestock industry. It is associated with substantial …
Vision Transformer for the Categorization of Breast Cancer from H&E Histopathol…
Md Shakhawat Hossain, Ashifur Rahman, Munim Ahmed, Kaniz Fatema, MM Mahbubul Syeed, Mohammad Anowar Hussen and Mohammad Faisal Uddin
Journal of Image and Graphics , Vol. 13 (4) , pp. 380-393
Breast Cancer (BC) is the most frequent form of cancer, accounting for 24.5% of all cancer cases worldwide, with projections estimating 364,000 cases by …
AI-assisted polyps detection to facilitate autonomous endoscopy examination
Munim Ahmed, Md Sahilur Rahman, Md Shakhawat Hossain, Mahmudur Rahman, Fariha Karim, Mahreen Tabassum
Examining the gastrointestinal (GI) tract to find polyps is a major task in endoscopy to diagnose, monitor and treat digestive disorders and diseases. Traditionally, …
BDFreshFish: A Comprehensive Image Dataset of Bangladeshi Freshwater Fishes to …
Md. Wahidur Rahman, Md. Tarequl Islam, Md. Rahat Khan, Mohammad Motiur Rahman, Munim Ahmed, Md Shahilur Rahman, Md Shakhawat Hossain
The BDFreshFish dataset that is presented in the paper contains image data that corresponds to eight different types of native freshwater fish that are …
Deep Learning for Imbalanced Gastrointestinal Image Classification: A Comparati…
Abdullah Al Shafi, Munim Ahmed, Md Sahilur Rahman, Md Shakhawat Hossain, Mohammad Faisal Uddin
Gastrointestinal (GI) diseases refer to a wide range of disorders that affect different parts of the digestive system, including the esophagus, stomach, small intestine …
Medicinal plant classification using particle swarm optimized cascaded network
Md Tarequl Islam, Wahidur Rahman, Md Shakhawat Hossain, Kaniz Roksana, Irma Domínguez Azpíroz, Raquel Martínez Diaz, Imran Ashraf, Md Abdus Samad
IEEE Access , Vol. 12 , pp. 42465-42478
Medicinal plants are essential to healthcare since ancient times and are integral to developing drugs and other medical treatments. More than 25% of medicines …
Ripen Banana Dataset: A Comprehensive Resource for Carbide Detection and Ripening Stage Analysis to Enhance Food Quality and Agricultural Efficiency
Elman Alam, Md Tarequl Islam, Ishrat Zahan Raka, Onamika Sarkar Ritu, Md Shakhawat Hossain, Wahidur Rahman, Rahat Khan
Data in Brief , Vol. 60
We introduce the “Ripen Banana” dataset, a newly developed collection featuring two distinct classes of ripen banana images: carbide and non-carbide. The dataset contains images from raw to ripe bananas that have been ripened with carbide and without carbide. …
A Comprehensive Dataset of Surface Water Quality Spanning 1940-2023 for Empirical and ML Adopted Research
Md Rajaul Karim, MM Mahbubul Syeed, Ashifur Rahman, Khondkar Ayaz Rabbani, Kaniz Fatema, Razib Hayat Khan, Md Shakhawat Hossain, Mohammad Faisal Uddin
Scientific Data (Nature) , Vol. 12 (1)
Assessment and monitoring of surface water quality are essential for food security, public health, and ecosystem protection. Although water quality monitoring is a known phenomenon, little effort has been made to offer a comprehensive and harmonized dataset for surface …
Predicting the effect of Bevacizumab therapy in ovarian cancer from H&E whole slide images using transformer model
Md Shakhawat Hossain, Munim Ahmed, Md Sahilur Rahman, MM Mahbubul Syeed, Mohammad Faisal Uddin
Intelligence-Based Medicine , Vol. 11 (100231)
Ovarian cancer (OC) ranks fifth in all cancer-related fatalities in women. Epithelial ovarian cancer (EOC) is a subclass of OC, accounting for 95 % of all patients. Conventional treatment for EOC is debulking surgery with adjuvant Chemotherapy; however, in 70 % …
AnxPred: A Hybrid CNN-SVM Model with XAI to Predict Anxiety among University Students
Md. Rajaul Karim, MM Mahbubul Syeed, Kaniz Fatema, Md. Shakhawat Hossain, Razib Hayat Khan and Mohammad Faisal Uddin
Perceived anxiety is a prevalent issue among university students, negatively affecting both mental health and academic outcomes. Prompt evaluation of anxiety triggered by academic factors is essential to promote student wellness and academic success. Recent studies have incorporated Machine Learning …
Automated Gleason Grading of Prostate Cancer from Low-Resolution Histopathology Images Using an Ensemble Network of CNN and Transformer Models
Md Shakhawat Hossain, Md Sahilur Rahman, Munim Ahmed, Anowar Hussen, Zahid Ullah, Mona Jamjoom
Computers, Materials & Continua
One in every eight men in the US is diagnosed with prostate cancer, making it the most common cancer in men. Gleason grading is one of the most essential diagnostic and prognostic factors for planning the treatment of prostate …
Ensemble of Deep Learning Models to Select Ovarian Cancer Patients for Bevacizumab Monoclonal Therapy
Md Sahilur Rahman; Munim Ahmed; Md Shakhawat Hossain; MM Mahbubul Syeed; Mohammad Faisal Uddin
Bevacizumab monoclonal therapy, in combination with chemotherapy, is an FDA-approved treatment for ovarian cancer (OC), particularly for patients with epithelial ovarian cancer (EOC) patients. However, numerous studies have reported adverse effects associated with this treatment, including hypertension, bleeding, cardiac …
SmartFarming: Lumpy Skin Disease Detection from Smartphone-captured Cattle Images using Transformer Model
Sharmin Islam Shroddha; Sanjana Raquib Bijoya; Towsif Ahmed; Umme Rumman Chaity; Md Shakhawat Hossain; M M Mahbubul Syeed
Lumpy skin disease, commonly known as LSD, poses a significant threat to cattle health, welfare and the livestock industry. It is associated with substantial economic loss and cattle death, especially in Bangladesh, where most farmers do not have proper …
Vision Transformer for the Categorization of Breast Cancer from H&E Histopathology Images
Md Shakhawat Hossain, Ashifur Rahman, Munim Ahmed, Kaniz Fatema, MM Mahbubul Syeed, Mohammad Anowar Hussen and Mohammad Faisal Uddin
Journal of Image and Graphics , Vol. 13 (4) , pp. 380-393
Breast Cancer (BC) is the most frequent form of cancer, accounting for 24.5% of all cancer cases worldwide, with projections estimating 364,000 cases by 2040. Accurate diagnosis and effective categorization of BC are essential for proper treatment planning, patient …
AI-assisted polyps detection to facilitate autonomous endoscopy examination
Munim Ahmed, Md Sahilur Rahman, Md Shakhawat Hossain, Mahmudur Rahman, Fariha Karim, Mahreen Tabassum
Examining the gastrointestinal (GI) tract to find polyps is a major task in endoscopy to diagnose, monitor and treat digestive disorders and diseases. Traditionally, an expert performs this examination to identify polyps based on the endoscope-generated images displayed on …
BDFreshFish: A Comprehensive Image Dataset of Bangladeshi Freshwater Fishes to Develop AI-driven Solutions for Autonomous Fisheries Management
Md. Wahidur Rahman, Md. Tarequl Islam, Md. Rahat Khan, Mohammad Motiur Rahman, Munim Ahmed, Md Shahilur Rahman, Md Shakhawat Hossain
The BDFreshFish dataset that is presented in the paper contains image data that corresponds to eight different types of native freshwater fish that are found in various parts of Bangladesh. The following categories are distinguished by their scientific names: …
Deep Learning for Imbalanced Gastrointestinal Image Classification: A Comparative Study of Architectural Choices
Abdullah Al Shafi, Munim Ahmed, Md Sahilur Rahman, Md Shakhawat Hossain, Mohammad Faisal Uddin
Gastrointestinal (GI) diseases refer to a wide range of disorders that affect different parts of the digestive system, including the esophagus, stomach, small intestine and large intestine. Pathological features play a crucial role in classifying gastrointestinal diseases. Early and …
Medicinal plant classification using particle swarm optimized cascaded network
Md Tarequl Islam, Wahidur Rahman, Md Shakhawat Hossain, Kaniz Roksana, Irma Domínguez Azpíroz, Raquel Martínez Diaz, Imran Ashraf, Md Abdus Samad
IEEE Access , Vol. 12 , pp. 42465-42478
Medicinal plants are essential to healthcare since ancient times and are integral to developing drugs and other medical treatments. More than 25% of medicines in developed countries are produced from medicinal plants, while in developing countries, approximately 80% of …