openmedical/registry
← registry

lisp-net

imported

software/lisp-net

Lightweight interactive medical image segmentation via in-context learning. Single dense 2D prompt + interactions → full 3D mask. Runs in-browser.

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

lisp-net project image
GitHub preview card for Machauer-P/lisp-net. 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
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/Machauer-P/lisp-net
Documentation
unknown
Tags
browser-inference · computer-vision · deep-learning · in-context-learning · interactive-segmentation · keras · medical-image-segmentation · medical-imaging · onnx · tensorflow · volumetric-segmentation · zero-shot-learning
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.

  • medico-saminteractive-segmentation · medical-image-segmentation · medical-imaging

    Segment Anything for Medical Imaging

  • human-against-machinecomputer-vision · onnx

    Deep learning on dermatoscopic images, with a browser demo that lets you try the task against the model.

  • Dermoscopic-Image-ICL-GPT4in-context-learning

    Dermoscopic Image In-Context Learning (ICL) with GPT4v

  • PaddleSeginteractive-segmentation · medical-image-segmentation

    Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image…

  • AI-for-Medical-Diagnosiskeras · medical-imaging · tensorflow

    This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine

  • Brain-tumor-classifierkeras · medical-imaging · tensorflow

    Brain tumor classification model from MRI scans using a Convolutional Neural Newtwork (CNN) built with Tensor flow/Keras.

sources
  1. api.github.com/repos/Machauer-P/lisp-net
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-19, 3 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/43.json→ .entries["lisp-net"]

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