Endoscopic Image Classification Using Dense-ResNet | Final Year Deep Learning Project.

🏥 Can AI detect diseases in real-time from endoscopy footage? In this project, we use Dense-ResNet, a powerful hybrid deep learning model, to classify endoscopic images for medical diagnostics.

🧠 You’ll learn how DenseNet and ResNet architectures are combined to improve image classification accuracy in healthcare AI applications.

🔍 This video covers:
✅ What is Dense-ResNet and why it works
✅ Endoscopic image dataset walkthrough
✅ Full model architecture & training
✅ Evaluation metrics & medical insights
✅ Python, Keras, TensorFlow implementation

🎓 Perfect for:

Final Year Projects in AI, DL, or Medical Imaging

B.Tech, B.Sc., M.Sc., BCA, MCA Students

Capstone Projects in AI for Healthcare

Research in Biomedical Image Processing

🔧 Also available at ProdoCHub.com:

Resume Templates

Technical & HR Interview Questions

Short Notes for Exams & Viva

👉 Visit: https://www.prodochub.com
📩 Mail: contact@prodochub.com
📱 WhatsApp: +91 86183 87992

💬 Have questions or feedback? Drop a comment below and don’t forget to LIKE, SUBSCRIBE, and SHARE with your peers!

✅ Tags:
#endoscopicimageclassification #denselyconnectedresnet #densresnet #medicalimageai #aiforhealthcare #deepresnet #deeplearningproject #finalyearprojectai #medicalimageclassification #btechproject #biomedicalai #healthtechai #medicalimageprocessing #cnnproject #endoscopyai #resnetdensenet #tensorflowproject #kerasai #capstoneproject #academicproject #prodochub #resumetemplates #interviewpreparation #topicnotes #finalyearprojectdeepLearning

Видео Endoscopic Image Classification Using Dense-ResNet | Final Year Deep Learning Project. канала Prodochub