Fully Convolutional Network Final Year Projects with Source Code
Fully Convolutional Network Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Fully Convolutional Network projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.
Fully Convolutional Network Final Year Projects
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An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise
This study focuses on cleaning heart sound recordings that are often disturbed by environmental and body noises. The researchers developed a deep learning model called LU-Net that removes these unwanted noises from heart sounds. The model was tested on both synthetic and real noisy recordings and performed better than existing methods. This approach can help doctors in busy or low-resource hospitals get clearer heart sound signals, improving the detection of heart diseases. -
Skin Medical Image Captioning Using Multi-Label Classification and Siamese Network
This project develops a system that can automatically describe skin images using simple sentences. It uses multiple machine learning models to identify skin features, match keywords, and relate them to everyday language descriptions. The system achieved very high accuracy and can help teach dermatology, especially in hospitals or schools with limited resources. It makes learning skin diagnosis easier and supports practical training for medical students. -
Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients
This project uses heart motion data from ultrasound scans to find damaged areas in the heart. It trains a computer model to recognize patterns in how heart muscle segments move. The model can detect and locate scarred regions with very high accuracy. This helps doctors understand heart problems earlier and more precisely.
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Fully Convolutional Network Project Synopsis & Presentation
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