Pneumonia_Detection_ChestX
importedsoftware/pneumonia-detection-chestx
Udacity AI for Healthcare Nanodegree Project: Deep Learning Model for Detecting Pneumonia in 2-D Chest X-Rays
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- cnn-keras · dicom · image-classification · pneumonia-classification · xray-detection
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- medpydicom · image-classification
Medical image processing in Python
- CapsNetsLASegcnn-keras
Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI
- DeepCareXcnn-keras
DeepCareX is an AI-powered healthcare system leveraging machine learning models for intelligent health insights
- DUCK-Netcnn-keras
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
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.
- MRIcnn-keras
3D volumetric medical image analysis without OpenCV.
- api.github.com/repos/ElliotY-ML/Pneumonia_Detection_ChestXretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2023-05-02, 8 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/23.json→ .entries["pneumonia-detection-chestx"]
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