Lecture & Practical Session on Advanced CNNs
Date:
In April 2025, together with my master students Claudia Castrillón-Álvarez and Laura Rodrigo-Muñoz, I delivered a session titled “Lecture & Practical Session on Advanced CNNs” at the Ágora Journal Club organized by the Signal Theory and Communications Department at Universidad Carlos III de Madrid.
The session included:
- 📊 30-minute theory talk on:
- CNN building blocks (convolutions, pooling, activations, batch norm)
- Architectures: ResNet, U-Net, YOLO
- Transfer learning and fine-tuning
- Evaluation metrics (accuracy, F1, mAP, Dice, IoU)
- 🧪 Hands-on Jupyter Notebook covering:
- Classification with custom CNNs and pretrained ResNet
- Object detection with YOLOv8
- Segmentation with U-Net and MONAI UNet
- Tailored loss functions and evaluation strategies
🧠 Datasets Used:
- Brain Cancer - MRI Dataset (Kaggle)
- Brain Tumor Detection Dataset (Ultralytics)
- Pancreatic Stem Cells Dataset (Cell Tracking Challenge)
📁 Materials: Zenodo (10.5281/zenodo.15276042)
💻 GitHub Repository: Ágora Sessions (update with real URL if needed)
This session aimed to give students an integrated perspective on how CNNs are used across classification, detectio