vindr.ai

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VinDr | Solutions for medical data

 Gegenereerd op December 23 2025 19:16 PM

Oude statistieken? UPDATE !

De score is 49/100

SEO Content

Title

VinDr | Solutions for medical data

Lengte : 34

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Description

VinDr is a comprehensive solution for medical image analysis that integrates Artificial Intelligence (AI) into a Picture Archiving and Communication System (PACS) to assist radiologists in making fast and precise diagnoses

Lengte : 222

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Keywords

vindr,ai,medical imaging,artificial intelligence,pacs,deep learning,radiology,healthcare,vinbdi

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Og Meta Properties

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Property Content
locale en_GB
site_name VinDr
type website
title VinDr | Solutions for medical data
description VinDr is a comprehensive solution for medical image analysis that integrates Artificial Intelligence (AI) into a Picture Archiving and Communication System (PACS) to assist radiologists in making fast and precise diagnoses
url https://vindr.ai

Headings

H1 H2 H3 H4 H5 H6
3 1 12 0 2 20
  • [H1] VinDr CAD
  • [H1] Research
  • [H1] Contact Us
  • [H2] News
  • [H3] VinDr-ChestXR
  • [H3] VinDr-SpineXR
  • [H3] VinDr-Mammo
  • [H3] VinDr-ChestCT
  • [H3] VinDr-LiverCT
  • [H3] VinDr-BrainCT
  • [H3] VinDr-BrainMR
  • [H3] VinDr Lab: Open-source data platform for medical AI
  • [H3] Vingroup: Ứng dụng AI-VinDr để giải bài toán y tế bền vững
  • [H3] Đọc phim cùng người máy
  • [H3] Quick Links
  • [H3] Contacts
  • [H5] Shaping the future of medical data analysis
  • [H5] Smart Health Center – VinBigData JSC
  • [H6] VinDr CAD is a platform for medical image analysis that consists of multiple Computer-Aided Diagnosis (CAD) tools to assist doctors in making fast and precise diagnoses. The platform can be seamlessly integrated into any Picture Archiving and Communication System (PACS) without breaking standard clinical workflows. Each CAD tool can automatically suggest diagnosis and localize a certain number of abnormalities based on appropriate DICOM images  in a real-time fashion. Focusing on some of the most common imaging modalities, VinDr CAD currently offers 7 following tools.
  • [H6] We are passionate about applying computer vision (CV), machine learning (ML) and deep learning (DL) models to build computed-aided detection (CADe) and computer aided diagnosis (CADx) systems from very large-scale clinical datasets of multiple imaging modalities (X-ray, CT, MRI, etc). Our research includes new methods and ML/DL models for radiologist-level understanding and interpretation from medical images. We aim to validate and publish our work on top-tier journals and conferences.
  • [H6] Learning from multiple expert annotators for enhancing anomaly detection in medical Image analysis
  • [H6] Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent SlicesVinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
  • [H6] VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
  • [H6] An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph
  • [H6] Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings
  • [H6] VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs
  • [H6] Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks
  • [H6] DICOM Imaging Router: An Open Deep Learning Framework for Classification of Body Parts from DICOM X-ray Scans
  • [H6] VinDr-RibCXR: A Benchmark Dataset for Automatic Segmentation and Labeling of Individual Ribs on Chest X-rays
  • [H6] Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network
  • [H6] VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations
  • [H6] Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
  • [H6] Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels
  • [H6] Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels
  • [H6] Detection and segmentation of endoscopic artefacts and disease using deep architectures
  • [H6] A CNN-LSTM Architecture for Detection of Intracranial Hemorrhage on CT scans
  • [H6] Address: 9th floor, Century Tower, Times City, 458 Minh Khai, Hai Ba Trung, Ha Noi
  • [H6] Email: [email protected]

Afbeeldingen

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Text/HTML Ratio

Ratio : 11%

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Flash

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Iframe

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Herschreven URL

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Underscores in de URLs

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In-page links

We vonden een totaal van 30 links inclusie 5 link(s) naar bestanden

Ankertekst Type samenstelling
Products Intern doFollow
VinDr PACS Intern doFollow
VinDr CAD Intern doFollow
VinDr Lab Intern doFollow
Datasets Intern doFollow
Research Intern doFollow
News Intern doFollow
Contact Intern doFollow
VinBigdata Extern doFollow
Request Demo Extern doFollow
[email protected] Intern doFollow
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography Extern doFollow
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices Extern doFollow
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations Extern doFollow
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph Extern doFollow
A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms Extern doFollow
Deployment and validation of an AI system for detecting abnormal chest radiographs in clinical settings Extern doFollow
Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling Extern doFollow
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography Extern doFollow
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs Extern doFollow
Enhancing MRI Brain Tumor Segmentation with an Additional Classification Network Extern doFollow
VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations Extern doFollow
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy Extern doFollow
Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels Extern doFollow
Interpreting chest X-rays via CNNs that exploit disease dependencies and uncertainty labels Extern doFollow
admin Intern doFollow
VinDr Lab: Open-source data platform for medical AI Intern doFollow
Vingroup: Ứng dụng AI-VinDr để giải bài toán y tế bền vững Intern doFollow
Đọc phim cùng người máy Intern doFollow
Products Intern doFollow

SEO Keywords

Keywords Cloud

deep hieu system from nguyen pham chest cad dataset learning

Keywords Consistentie

Keyword Content Title Keywords Description Headings
nguyen 57
hieu 28
chest 17
pham 16
learning 15

Bruikbaarheid

Url

Domein : vindr.ai

Lengte : 8

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Printbaarheid

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Taal

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Dublin Core

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Document

Doctype

HTML 5

Encoding

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W3C Validiteit

Fouten : 0

Waarschuwingen : 0

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Niet ondersteunde HTML

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Speed Tips

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Mobile

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