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MMIR

imported

software/mmir

MMIR: Multimodal Image Registration

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

MMIR project image
GitHub preview card for BMDSoftware/MMIR. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
AGPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
BMDSoftware
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
histology · image-registration · microscopy · multi-modal · pathology · pathology-image
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.

  • ANHIR_MWhistology · image-registration · microscopy

    Software used by the AGH team during the ANHIR challenge.

  • DeepHistReghistology · image-registration · microscopy

    Code used to create the DeepHistReg submission to the ANHIR challenge.

  • LabelSlidepathology · pathology-image

    LabelSlide is a slide annotation tool and label object bounding boxes in virtual slides (generally used in pathology)

  • deepslidemicroscopy · pathology-image

    Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework…

  • axondeepseghistology · microscopy

    Axon/Myelin segmentation using Deep Learning

  • kedro-multimodalmulti-modal

    Template for multi-modal machine learning in healthcare using Kedro. Combine reports, tabular data and images using various fusion methods.

sources
  1. api.github.com/repos/BMDSoftware/MMIR
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2024-01-04, 4 stars, license reported as AGPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/32.json→ .entries["mmir"]

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