#Medical Image Analysis

Discover Neurite, a neural network toolbox for medical image analysis using TensorFlow and Keras. It includes network layers, N-D interpolation utilities, and model stacking strategies. Neurite supports segmentation and analysis with models like UNet and provides generators and metrics for performance evaluation. Easily install by cloning or with pip, and contribute under guided coding standards. Neurite's tools are featured in projects like VoxelMorph and brainstorm.

This project introduces a PyTorch-based multi-branch network for accurate nuclear instance segmentation and classification in histology images. By utilizing pixel distances, it distinctly separates clustered cells and classifies nuclear types. The implementation supports processing tasks with model weights from datasets like CoNSeP, PanNuke, and more.

Explore the influence of the 'Segment Anything' open-source project on advancing computer vision. This informative resource compiles cutting-edge research, emphasizing its broad application in image segmentation, video interpolation, and medical imaging. The repository collects foundational insights and recent developments, seamlessly integrating SAM with other innovations. It effectively meets challenges in visual segmentation and camouflaged object detection, ensuring comprehensive knowledge and updates across various fields.