1
Slide Digitization
Whole-slide image · 40× magnification
- Biopsy slide scanned by a high-resolution digital scanner
- Whole-slide image (WSI) at tissue and cellular level
- Any scanner — HistoFrame is scanner agnostic
AI-Driven Healthcare & Digital Pathology
HistoFrame Pulmo
An AI-powered digital pathology platform for lung cancer diagnosis using deep learning, delivering industry-leading diagnostic accuracy.
HistoFrame Pulmo extends IDMETRIX’s innovation footprint into healthcare AI — combining secure digital infrastructure expertise with advanced deep-learning diagnostics.
98.2%
Diagnostic Accuracy
Deep Learning
AI Model Type
Digital Pathology
Domain
Capabilities
What HistoFrame Pulmo Does
AI-Assisted Primary Diagnosis Support
Accelerates pathologist workflows with intelligent pre-screening and region-of-interest highlighting.
Diagnostic Accuracy at 98.2%
Validated deep-learning models trained on large pathology datasets for reliable lung cancer classification.
Digital Slide Analysis Pipeline
End-to-end ingestion, normalization, and inference pipeline designed for hospital and laboratory integration.
Clinical Decision Support
Structured reporting outputs that align with diagnostic protocols while keeping clinicians in control.
Secure Healthcare Data Handling
Built with governance, auditability, and privacy considerations for sensitive medical imaging data.
Scalable Cloud & On-Prem Deployment
Flexible deployment models to match institutional infrastructure and regulatory requirements.
How It Works
From Biopsy Slide to Integrated Diagnosis
Four stages take a digitized biopsy through AI analysis to a report the pathologist confirms — the model proposes, the clinician decides.
2
Image Preprocessing
Original tile · tissue segmentation mask
- Colour normalization across stains and scanners
- Noise and artefact reduction
- Tissue segmentation removes the background
3
AI Analysis & Visualization
AI confidence heatmap · tumour, stroma, immune cells
- Deep-learning models detect tumour regions
- Cell types classified and graded; biomarkers analysed
- Results overlaid on the slide as heatmaps and annotations
AI ReportPathologist view
98.2%
Accuracy
DiagnosisFindingsBiomarkers
4
Pathologist Review & Report
Pathology report · pathologist view
- The pathologist reviews and adjusts the AI annotations
- Final diagnostic decision stays with the clinician
- Report with diagnosis, key findings, quantitative data and annotated images
- Higher AccuracyDetects subtle features and reduces human error.
- Faster WorkflowAutomates the time-consuming steps.
- Quantitative InsightsObjective, reproducible measurements.
- StandardizationConsistent analysis and reporting across cases.
- Better Patient OutcomesSupports precise, personalized treatment.
For the Detail-Minded
The Whole Pipeline on One Page
For those who like to see every step: the complete AI pathology workflow — eight stages from biopsy sample to clinical report — on a print-ready A4 sheet.
Download the InfographicPDF · 1 page · A4
The platform behind it
Image Intelligence
Revolutionizing biomedical insight.
HistoFrame Pulmo is part of Image Intelligence, our AI and biomedical research venture building software for histopathology, molecular pathology and biomedical research. Its models are trained on over two million annotated regions from biobank partners and run entirely in the browser — nothing to install, scanner agnostic, and built for clinical environments with strict data protection.
- HistoFrame
- Web-based AI platform for lung cancer screening and subtype classification, reported as visual heatmaps. Patent EP23163378.
- Ainnotate
- Cloud-based annotation platform for building AI training data — object detection, segmentation and classification.
98.2%
Accuracy detecting cancer in histological images
50×
More diagnostic capacity — minutes instead of manual hours
90%
Fewer diagnostic mistakes, with consistent bias-free results
Planning an identity programme?
Tell us about your project and our team will come back with a proposal.
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