Read and write Neuroglancer datasets programmatically.

Open source Python library for building bioimage analysis pipelines

Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)

Mesh-based Monte Carlo (MMC)

A generalizable application framework for segmentation, regression, and classification using PyTorch

Biomedical Computer Vision Project | Academic Year 2023-2024 | Politecnico di Milano

PyTorch Connectomics: segmentation toolbox for EM connectomics

Artificial intelligence (AI) is gradually changing medical practice. With recent progress in digitized data acquisition, machine learning and computing infrastructure, AI applications are expanding into areas that were previously thought to be only the province of human experts.

Image Domain Transfer with CycleGAN

Scalable Optical Flow-based Image Montaging and Alignment

Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.

Mother machine image analysis through napari

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)

Image pyramid generation for grayscale and segmentation image resize.

Tools for computational pathology

Projekt u sklopu predmeta Analiza slika u biomedicini

Medical image augmentation tool that can be integrated with Pytorch & MONAI.

A course in biomedical image analytics by Prof. Dmitry V. Dylov

Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm