Machine & Deep Learning
Skin Cancer Prediction (Medical Imaging)
A deep-learning skin cancer prediction model built to support a research project, classifying skin lesions from medical images through a full preprocessing and prediction pipeline.
- Deep Learning
- Image Classification
- Medical Imaging
- CNN
- Python
- TensorFlow/Keras
- Computer Vision
- Data Preprocessing
Case study
The build, in detail
Overview
Built to support a researcher's competition project, this is a deep-learning system that predicts skin cancer from medical images.
How it works
The work covered the full machine-learning pipeline: image preprocessing, preparing the dataset, training the classification model and generating predictions.
Outcome
The result is a model that analyzes skin lesion images and predicts the likelihood of skin cancer, demonstrating applied deep learning for medical image classification.
Inside the build
Screens from the system
Skin Cancer Prediction (Medical Imaging) — system architecture