GitHub / leukaemiamedtech / hias-sars-cov2-xdnn-classifier
An implementation of a HIAS compatible xDNN classifier by Nitin Mane. Inspired by SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification by Eduardo Soares, Plamen Angelov, Sarah Biaso, Michele Higa Froes, Daniel Kanda Abe.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/leukaemiamedtech%2Fhias-sars-cov2-xdnn-classifier
PURL: pkg:github/leukaemiamedtech/hias-sars-cov2-xdnn-classifier
Stars: 1
Forks: 2
Open issues: 0
License: mit
Language: Python
Size: 3.55 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: about 4 years ago
Pushed at: about 4 years ago
Last synced at: over 2 years ago
Topics: artificial-intelligence, covid-19, covid19, ct-scans, explainable-deep-learning, sars-cov-2, transfer-learning, xdnn, xdnn-hias