vindr.ai

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VinDr | Solutions for medical data

 Generado el 23 Diciembre 2025 19:16 PM

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Título

VinDr | Solutions for medical data

Longitud : 34

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Descripción

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

Longitud : 222

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Palabras Claves (Keywords)

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

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Propiedad Contenido
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

Titulos

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]

Imagenes

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Enlaces en página

Hemos encontrado un total de 30 enlaces incluyendo 5 enlace(s) a ficheros

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

Palabras Clave SEO

Nube de Palabras Clave

chest cad deep hieu nguyen from pham learning system dataset

Consistencia de las Palabras Clave

Palabra Clave (Keyword) Contenido Título Palabras Claves (Keywords) Descripción Titulos
nguyen 57
hieu 28
chest 17
pham 16
learning 15

Usabilidad

Url

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Errores : 0

Avisos : 0

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