Basal Cell Carcinoma Final Year Projects with Source Code

Basal Cell Carcinoma Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Basal Cell Carcinoma 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.

Basal Cell Carcinoma Final Year Projects

  1. Microwave Reflectometry Sensing System for Low-Cost in-vivo Skin Cancer Diagnostics
    This project focuses on developing a simple and safe way to detect skin cancer early. It uses a microwave-based system that can tell the difference between healthy and cancerous skin by measuring how the skin reacts to microwaves. The system is non-invasive, fast, low-cost, and comfortable for patients. Tests on volunteers showed it can successfully identify both benign and malignant skin lesions.
  2. DeepSkin A Deep Learning Approach for Skin Cancer Classification
    This project focuses on detecting skin cancer early using artificial intelligence. It uses a large dataset of skin images to teach a computer to recognize different types of skin lesions. The system processes images to remove noise and improve quality before training deep learning models. Advanced neural networks like DenseNet169 and ResNet50 are used to accurately classify the skin lesions.
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At Final Year Projects, we provide complete guidance for Basal Cell Carcinoma IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

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Basal Cell Carcinoma Project Synopsis & Presentation

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