ABSTRACT
Embark on a journey of technological innovation and healthcare impact with our project on Breast Cancer Classification using Convolutional Neural Networks (CNN) with Transfer Learning Models. Tailored for students passionate about the intersection of artificial intelligence and medical science, this initiative leverages advanced deep learning techniques to enhance breast cancer diagnosis.
Our project employs state-of-the-art CNNs with transfer learning models, utilizing a diverse dataset of medical images to classify and detect potential indicators of breast cancer. Through comprehensive image analysis, feature extraction, and model training, students will gain practical insights into the transformative potential of artificial intelligence in the realm of medical diagnostics.
Designed to engage students actively, our user-friendly interface serves as an educational platform, providing hands-on experience in deploying CNNs with transfer learning for medical image analysis. Aspiring scientists, engineers, and healthcare enthusiasts are invited to explore the project, gaining valuable knowledge that contributes to the ongoing evolution of medical technology.
