Medical Imaging
Showing 17 of 53 projects
Open-source implementation of the winning solution for the 2018 Data Science Bowl Kaggle competition using PyTorch and U-Net.
Open-source software for deep learning-based analysis and visualization of whole slide images in digital pathology.
A Python library for interacting with QuPath, providing a pythonic interface to manage and analyze digital pathology projects.
A toolkit for evaluating and monitoring machine learning models in clinical healthcare settings.
A curated collection of resources for applying machine learning to biomedical and healthcare imaging applications.
A PyTorch-based project for classifying chest X-rays and localizing pathologies using Grad-CAM with fine-tuned CNN models.
A curated list of academic papers, datasets, and metrics for 3D neurite segmentation in electron microscopy connectomics.
A MATLAB-based 3D medical image viewer with multi-label segmentation, ROI tools, and support for DICOM/NIFTI formats.
A curated list of software, tools, and resources for exploring, organizing, and analyzing neuroimaging data with a focus on MRI.
An open-source image processing tool for histological image preprocessing and augmentation to improve deep learning model development.
A Python framework for distributed processing and automation of neuroimaging data on XNAT platforms.
A DICOM honeypot server that logs and analyzes medical imaging protocol traffic for security monitoring.
A deep learning model that detects mitosis in breast cancer tumor cell images to assist in tumor proliferation scoring.
A curated collection of academic papers, datasets, and metrics for topology-aware delineation in computer vision and medical imaging.
A collection of pre-compiled LCModel binaries for Windows, macOS, and Linux to analyze magnetic resonance spectroscopy data.
An R package for reading, writing, and visualizing medical imaging data in ANALYZE, NIfTI, and AFNI formats.
A deep learning model that identifies and segments nuclei in microscopy images using Mask R-CNN.
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