# DLTK/DLTK

Deep Learning Toolkit for Medical Image Analysis

Repository: https://github.com/DLTK/DLTK
Canonical: https://ross.abutalabs.com/products/dltk
Homepage: https://dltk.github.io/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: deep-learning, machine-learning, neural-networks, tensorflow, medical-imaging, data-science, ml, deep-neural-networks, python, medical, dltk, dltk-model-zoo, neural-network, neuroimaging, cnn, medical-image-processing
Last push: 2023-03-24T22:27:46+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3410, "days_push": 1258, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1458, forks 402 (observed 2026-08-28T04:04:47.154155+00:00)

## What it is
DLTK is a Python neural networks toolkit built on TensorFlow for deep learning on medical images. It provides reference model implementations, tutorials, and sample applications to enable fast prototyping and reproducible medical image analysis research.

## Use cases
- segment medical images with deep learning
- build CNN models for MRI or CT scans
- run deep learning on neuroimaging data
- prototype medical image analysis pipelines in TensorFlow
- download and preprocess medical imaging datasets
- learn biomedical image analysis with TensorFlow

## When to choose
- you need ready-made deep learning baselines for medical images
- you work with TensorFlow and want reproducible medical imaging models
- you want tutorials and sample applications for biomedical image analysis

## When to avoid
- you use PyTorch instead of TensorFlow
- you need actively maintained code with recent TensorFlow 2.x support
- your project is general-purpose computer vision without a medical focus

## Facets
- artifact type: library
- maturity: maintenance
- function: deep-learning, machine-learning, image-processing, data-science
- domain: deep-learning, machine-learning, healthcare, image-processing
- platform: python, windows
- tags: medical-imaging, tensorflow, neuroimaging, cnn, model-zoo, biomedical-image-analysis, gpu, linux, macos

## Member repositories
- DLTK/DLTK (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:47.154155+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:35:28.982075+00:00, confidence not recorded.
  - readme: https://github.com/DLTK/DLTK (fetched 2026-08-28T04:04:47.154155+00:00, sha 774aa75ae376)
  - homepage: https://dltk.github.io/ (fetched 2026-08-29T11:44:16.408256+00:00, sha 898871e2e776)
- Data as of 2026-08-30T08:39:29.467469+00:00.