Transformer Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Transformer ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Transformer Projects
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A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading
This project focuses on automatically grading cortical cataracts, a type of eye disease that is hard to detect. The system uses advanced AI called a Transformer to carefully analyze eye images. It breaks the eye into zones and looks at important details like location, size, and density of the cataract. The method can handle missing information and uncertain data, making it more accurate than previous approaches. -
Masked Modeling-Based Ultrasound Image Classification via SelfSupervised Learning
This project uses artificial intelligence to improve how ultrasound images are analyzed. It teaches a computer to understand images without needing human labeling. The system learns by filling in missing parts of images, helping it recognize patterns more effectively. This method makes ultrasound image classification more accurate, even when the images are unclear or noisy. -
TTN Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography
This project focuses on automatically labeling branches of coronary arteries in heart CT scans. The researchers developed a new AI model called a Topological Transformer Network that understands the position and relationship of all artery branches. It works well even when some branches are small or rare. This system can help doctors detect heart problems and locate blockages more easily.
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