napari_svetlana
importedsoftware/napari-svetlana
The aim of this plugin is to classify the output of a segmentation algorithm
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/koopa31/napari_svetlana
- Documentation
- unknown
- Tags
- classification · cnn-classification · microscopy
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ECG-Atrial-Fibrillation-Classification-Using-CNNclassification · cnn-classification
This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.
- GlioScanclassification · cnn-classification
IDH Classification for Gliomas using CNN and Transformers.
- Dhadkancnn-classification
An ECG Monitoring System with Real-time Analysis for Tele-medecine facilites
- MVG-CNNcnn-classification
Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"
- pytorch-hcsclassification · microscopy
Predict drug mechanism of action from high content screening images using PyTorch
- COVID-19-Scannercnn-classification
This model is meant to help triage patients (prioritize certain patients for testing, quarantine, and medical attention) that require diagnosis for COVID-19. This model is not meant to diagnose…
- api.github.com/repos/koopa31/napari_svetlanaretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2023-07-19, 4 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/7.json→ .entries["napari-svetlana"]
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