Projects Details

Project Name: Medical Image Classification (CT Images)

Objective: Classify CT images into categories such as normal or hemorrhage.

Model Architecture:

CNN Layers: Used for automatic feature extraction from CT images, focusing on edge detection, textures, and other significant patterns.
LSTM Layers: Integrated for capturing temporal dependencies or sequential patterns in the data, potentially useful in cases where CT slices are analyzed over time.
Tools: Python, TensorFlow/Keras, PyTorch.