HealthRecognition: Vision Transformers, Segmentation Sub-Millimétrique et Pathologie Numérique

HealthRecognition est pionnier des architectures de vision par ordinateur pour la santé, exécutant des réseaux de neurones profonds calibrés pour quantifier la granulation des plaies diabétiques, détecter l'asymétrie faciale neurologique précoce et évaluer la marche parkinsonienne selon la FDA SaMD.

HealthRecognition Clinical Vision & Feature Extraction Architecture

Color-calibrated image ingestion, multi-task segmentation network, and quantitative clinical scoring

Central System: Clinical Vision Core - Multi-Task Segmentation & Landmark Engine

Clinical IoMT Nodes

  • Color-Calibrated Camera Stream
  • Tissue Semantic Segmentation Core
  • Sub-Millimeter Surface Area Estimator
  • Facial Neuropathy Landmark Detector
  • FHIR DiagnosticReport Sink

Architectural Layers & Regulatory Standards

  • Calibrated Image Acquisition (ColorChecker Reference Card / Ambient Light Correction): Normalizing smartphone camera photos against standard color targets to eliminate flash glare and ambient color casts.
  • Multi-Class Tissue Semantic Segmentation (UNet++ with EfficientNet-B7 Backbone): Classifying pixels into granulated tissue, slough, necrotic eschar, and healthy epithelization.
  • Kinematic Landmark & Motion Tracking (MediaPipe Pose / Optical Flow Kinematic Analysis): Extracting 3D skeletal landmarks from video to quantify stride length, cadence, tremor frequency, and facial symmetry.
  • Clinical Validation & EHR Export (DICOM Secondary Capture / HL7 FHIR Media): Publishing segmented wound photos, calculated surface area trends, and neurological scores directly into hospital charts.

Key Metrics: < 1 mm² (Wound Area Measurement Precision) | 98.7% (Tissue Classification Sensitivity) | 60 FPS (Real-Time Neurological Video Tracking) | CIE L*a*b* (Color Calibration Standard)

Reconnaissance de motifs médicaux, vision par ordinateur clinique pour la cicatrisation des plaies, biomarqueurs faciaux et analyse de la démarche

Authoritative technical engineering reference for medical pattern recognition, clinical computer vision for wound healing, facial biomarkers & gait analysis in FDA Premarket submissions, EU MDR, IEC 62304 Class C software lifecycle, ISO 13485 quality systems, and IoMT zero-trust interoperability.

Core Engineering Areas

Technical Articles

Related Cluster Architecture Specifications