BarriBarri20/Lung-cancer-detection-model-training
This project is a deep learning model for lung cancer prediction, trained on a dataset containing images of different types of lung cancer and normal lung CT scans. The model was created using TensorFlow and Keras, and uses transfer learning with pre-trained models like ResNet50, VGG16, and MobileNetV2.
This project helps medical professionals, like radiologists or oncologists, classify CT-Scan images to identify different types of lung cancer or normal lung tissue. It takes CT-Scan images as input and outputs a classification indicating whether the image shows Adenocarcinoma, Large cell carcinoma, Squamous cell carcinoma, or normal cells. This tool can assist in the diagnostic process for lung cancer.
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Use this if you need a pre-trained deep learning model to automatically categorize lung CT-Scan images for potential cancer detection.
Not ideal if you need a tool for medical image analysis beyond lung cancer classification or require a model trained on a different set of cancer subtypes.
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Apr 10, 2023
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