openmedical/registry
← registry

DeepCareX

imported

software/deepcarex

DeepCareX is an AI-powered healthcare system leveraging machine learning models for intelligent health insights

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

DeepCareX project image
GitHub preview card for sumony2j/DeepCareX. 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
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
ai · application · cnn-keras · data-science · deep-learning · docker · flask · flask-application · healthcare · machine-learning · project · python · transfer-learning · vgg16
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.

  • Diabetes-Prediction-Systemflask · flask-application

    Diabetes Prediction System using support vector classifier and its deployment on local machine

  • Diabetes-Detectionflask-application

    A diabetes detection machine learning project involves using data and algorithms to train a model to accurately predict the likelihood of an individual having diabetes based on various features such…

  • nafasapplication · healthcare

    🧘‍♂️ Breathing Gymnastics Application

  • Created an interactive Power BI dashboard to analyze hospital visitor data, using DAX for insights into patient demographics and service usage to enhance efficiency and satisfaction. The project…

  • CapsNetsLASegcnn-keras

    Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI

  • DUCK-Netcnn-keras

    Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )

sources
  1. api.github.com/repos/sumony2j/DeepCareX
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-05-15, 15 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/10.json→ .entries["deepcarex"]

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