This tutorial provides a step-by-step guide on how to implement and train a U-Net model for polyp segmentation using TensorFlow/Keras.
The tutorial is divided into four parts:
Data Preprocessing and Preparation In this part, you load and preprocess the polyp dataset, including resizing images and masks, converting masks to binary format, and splitting the data into training, validation, and testing sets.
U-Net Model Architecture This part defines the U-Net model architecture using Keras....
U-net Medical Segmentation with TensorFlow and Keras (Polyp segmentation)
The tutorial is divided into four parts:
Data Preprocessing and Preparation In this part, you load and preprocess the polyp dataset, including resizing images and masks, converting masks to binary format, and splitting the data into training, validation, and testing sets.
U-Net Model Architecture This part defines the U-Net model architecture using Keras....
U-net Medical Segmentation with TensorFlow and Keras (Polyp segmentation)