SS
Souvik Sengupta
Aliah University
Research areas: Medicine · Ophthalmology · Retinal Diseases and Treatments · Retinal Imaging and Analysis · Topic Modeling
0000-0003-1842-7523
Employment
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Aliah University Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- A scalable semi-supervised approach for short answer grading using modified DBSCAN algorithm Save
- Efficient parameter estimation in biochemical pathways: Overcoming data limitations with constrained regularization and fuzzy inference Save
- Bi-Directional Hybrid Attention Feature Pyramid Network for Detecting Diabetic Macular Edema in Retinal Fundus Images Save
- A Review on Machine Learning and Deep Learning Based Approaches in Detection and Grading of Alzheimer’s Disease Save
- Application of deep learning approaches for classification of diabetic retinopathy stages from fundus retinal images: a survey Save
- Correction to: Optimizing dosage in linear accelerator based on predictive analysis of radiation induced skin toxicity using machine learning techniques (Microsystem Technologies, (2024), 10.1007/s00542-024-05676-1) Save
- Legislative Text Analysis from Judicial Case Reports Using Machine Learning Save
- Machine Learning in the Healthcare Sector and the Biomedical Big Data: Techniques, Applications, and Challenges Save
- Machine Learning-Based Analysis of IoT Healthcare Data- A Review of Contemporary Research Save
- Optimizing dosage in linear accelerator based on predictive analysis of radiation induced skin toxicity using machine learning techniques Save
- A Hybrid CNN Model for Deep Feature Extraction for Diabetic Retinopathy Detection and Gradation Save
- Automated Mapping of Course Outcomes to Program Outcomes using Natural Language Processing and Machine Learning Save
- Comparing Deep Feature Extraction Strategies for Diabetic Retinopathy Stage Classification from Fundus Images Save
- MAPPING LEARNER’S QUERY TO LEARNING OBJECTS USING TOPIC MODELING AND MACHINE LEARNING TECHNIQUES Save
- Towards Finding a Minimal Set of Features for Predicting Students' Performance Using Educational Data Mining Save
- In search for the optimal preprocessing technique for deep learning-based diabetic retinopathy stage classification from retinal fundus images Save
- Possibilities and challenges of online education in India during the COVID-19 pandemic Save
- Predicting applicable law sections from judicial case reports using legislative text analysis with machine learning Save
- In Search for the Optimal Preprocessing Technique for Deep Learning Based Diabetic Retinopathy Stage Classification from Fundus Images Save
- Architectural design of a LMS with LTSA-conformance Save