Automated Author ProfileRidoy, Ridoy kumar Das
American International University Bangladesh
Ridoy, Ridoy kumar Das
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset Description:This dataset consists of Orthopantomogram (OPG) dental X-ray images collected from the Global Orthopedic General Hospital & Diagnostic Center in Bangladesh. It is designed for object detection, disease classification, image analysis, and segmentation. The dataset is organized into two main folders: Object Detection Dataset and Classification Dataset.The Object Detection Dataset folder contains 4000 original and 10,000 augmented images with labeled annotations.The Classification Dataset folder consists of separate files for each dental condition class.Images are stored in JPG format, while labels are in JSON format. The dataset is divided into training (70%), validation (20%), and testing (10%) sets.Dataset collection:• Source: Global Orthopedic General Hospital and Diagnostic Center.• Capture Method: Hard drive.• Anonymization : All information was carefully removed to protect privacy and confidentiality.• Informed Consent: Consent was knowingly given by each patient in compliance with dental ethics.Variables: Cavities:2500 Damage/Broken :2500 Infection: 2500 Wisdom teeth: 2500
Authors
- FESANI, AL ;
- Chowdhury, Shorbani ;
- Haidar, Jamil ;
- Ridoy, Ridoy kumar Das ;
- Biswas, Rahul ;
- Rahman, Mahfujur ;
- Dey, Noboranjan
Dataset Description:This dataset consists of Orthopantomogram (OPG) dental X-ray images collected from the Global Orthopedic General Hospital & Diagnostic Center in Bangladesh. It is designed for object detection, disease classification, image analysis, and segmentation. The dataset is organized into two main folders: Object Detection Dataset and Classification Dataset.The Object Detection Dataset folder contains 4000 original and 10,000 augmented images with labeled annotations.The Classification Dataset folder consists of separate files for each dental condition class.Images are stored in JPG format, while labels are in JSON format. The dataset is divided into training (70%), validation (20%), and testing (10%) sets.Dataset collection:• Source: Global Orthopedic General Hospital and Diagnostic Center.• Capture Method: Hard drive.• Anonymization : All information was carefully removed to protect privacy and confidentiality.• Informed Consent: Consent was knowingly given by each patient in compliance with dental ethics.Variables: Cavities:2500 Damage/Broken :2500 Infection: 2500 Wisdom teeth: 2500
Authors
- FESANI, AL ;
- Chowdhury, Shorbani ;
- Haidar, Jamil ;
- Ridoy, Ridoy kumar Das ;
- Biswas, Rahul ;
- Rahman, Mahfujur ;
- Dey, Noboranjan