openmedical/registry
← registry

Tesseract-MI

imported

software/tesseract-mi

Open-Source Browser-based Platform for Artificial Intelligence Deployment in Medical Imaging

Machine-generated from the listed sources and not yet reviewed by a human.

Tesseract-MI project image
GitHub preview card for Tesseract-MI/Tesseract-MI. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
Tesseract-MI
Country
unknown
Homepage
unknown
Repository
github.com/Tesseract-MI/Tesseract-MI
Documentation
unknown
Tags
artificial-intelligence · deployment · medical-imaging
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • BTSC-UNet-ViTdeployment · medical-imaging

    🧠 BTSC-UNet-ViT— a🚀brain tumor segmentation & classification system combining 🧩Vision Transformers (ViT) for tumor detection and 🎯 UNet for precise pixel-level segmentation from MRI scans.…

  • AI-Projects-for-Healthcareartificial-intelligence · medical-imaging

    This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.

  • biom3dartificial-intelligence · medical-imaging

    Easy Volumetric Segmentation with Deep Learning

  • CNN_design_for_ADartificial-intelligence · medical-imaging

    Code for "Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs"

  • DARTSartificial-intelligence · medical-imaging

    Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation

  • deepbrainartificial-intelligence · medical-imaging

    Deep Learning tools for brain medical images

sources
  1. api.github.com/repos/Tesseract-MI/Tesseract-MI
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2018-09-27, 32 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/18.json→ .entries["tesseract-mi"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.