Research Works
Multimodal Fusion for Brain Medical Image using MMSegNet
(Accepted & Publication in Progress)
Innovated a novel CNN model for multimodal medical image fusion, enhancing disease identification and diagnosis by integrating data from different imaging modalities.
Geometric Mean Ensembling of EfficientNet V2 B0 and ViT-B16 for Enhanced Brain Tumor Classification: A Transfer Learning Approach
(Journal Publication in Progress)
Utilized deep learning models (EfficientNet V2 B0, ViT-B16) for brain tumor classification.
Innovative Approaches in Cataract Detection: Exploring Transfer Learning and Image Segmentation Techniques
(Accepted & Publication in Progress)
Utilizing deep learning and CNNs for developing a precise system to diagnose cataracts accurately.
Comprehensive Analysis of Hemoglobin Gene Variations: Development and Application of a High-Throughput Bioinformatics Tool
(Publication in Progress)
The Hemoglobin Analyzer Bot collects data for a gene analysis website, integrating various tools for comprehensive functionality.
