S

segmentation

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

Ultralytics YOLO 🚀

This is a project to train, use and analyze 2D and 3D neural networks for segmentation.

Covid-Net based network, reproducibility experiment applied to CRX images for covid detection and classification

Implementazione di GraphCut un algoritmo per la segmentazione di immagini basato su grafi

piecewise constant approximation of graph-structured data along geometric primitives

Image Processing done in subject VBA(Vision Based Automation)

Multimodal Brain Tumor Segmentation (BRATS) Challenge 2019

Training of deep networks for medical image segmentation tasks Network and training strategy that relies on the strong use of data augmentation