nv-segment-ct-finetune
CommunityAuto-configured finetune workflow for NV-Segment-CT.
Education & Research#evaluation#benchmark#finetune#medical-imaging#monai#ct-segmentation#nv-segment-ct
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
NV Segment-CT Finetune provides an auto-configured wrapper around the upstream MONAI-based finetuning workflow for NV-Segment-CT, enabling researchers to reliably run smoke tests and MSD Task06 sanity runs without manually wiring the bundle.
Core Features & Use Cases
- Auto-configured wrapper around NV-Segment-CT continual finetune entry, coordinating dataset inputs, patch sizes, and GPU/runtime settings.
- Supports smoke (spleen_micro) and sanity (Task06_Lung) presets, with explicit label mappings (e.g., [[1, 23]]) and automatic class-prompt segmentation.
- Exposes outputs finetuned_ckpt and result_json and relies on the upstream bundle for the heavy lifting.
Quick Start
Run the finetune script against a dataset to produce a finetuned model and an evaluation artifact.
Dependency Matrix
Required Modules
nibabelnumpyscipytyper
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: nv-segment-ct-finetune Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#nv-segment-ct-finetune Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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