Convolutional Neural Networks for Skin Tumor Classification in Python

In this tutorial we build a computer vision application for classifying skin tumors as benign or malignant. Leveraging the capabilities of Convolutional Neural Networks (CNN), Python, and Tkinter, we’ll guide you through the process of creating an app that can potentially aid in early detection of skin tumors. Our dataset comprises +11000 images from both classes that we will use for training the CNN, and additional 2000 images for testing and evaluating the model. Link to the dataset on Kaggle: https://www.kaggle.com/datasets/bhaveshmittal/melanoma-cancer-dataset Source code on GitHub: https://github.com/NeuronalLab/Skin_Cancer_Classification_CNN_Python?tab=readme-ov-file #machinelearning #deeplearning #convolutionalneuralnetworks #CNNs #computervision #machinelearningproject #deeplearningprojects #deeplearningtutorial #machinelearningtutorialforbeginners #machinelearningwithpython #tkintertutorial #tkinter