

# Event Details

- **Event Name**: The Diagnexia Computational Pathology Course 2026
- **Event Start and End Date**: Tue, 18 Aug, 2026 at 09:00 am – Wed, 19 Aug, 2026 at 06:00 pm (+01:00)
- **Event Description**: Explore AI, image analysis, and deep learning in pathology. A two-day intensive course on computational techniques transforming diagnostics.About this EventDiagnexia Computational Pathology Symposium📍 Queens College, Oxford📅 Date: August 18 and 19 2026Day 109:30 – 10:00 Registration &amp; CoffeeSign-in, materials collection, networking10:00 – 10:30 - Welcome &amp; Introduction to Computational Pathology - RC + PMCourse overview and learning objectives; definition and scope of computational pathology; distinction from digital pathology; the data-intensive nature of pathology; course roadmap10:30 – 11:15 - Digital Image Fundamentals I: Core Concepts - PMWhat is a digital image; pixels, resolution, and bit depth; color spaces (RGB, HSV, LAB); relationship between magnification and microns per pixel (mpp); image file formats (JPEG, PNG, TIFF); lossy vs. lossless compression and their impact on analysis; why format choices matter downstream11:15 – 11:30 - Coffee Break11:30 – 12:15 - Digital Image Fundamentals II: Whole-Slide Imaging - PMWhole-slide imaging technology; scanner types and acquisition; pyramidal/multi-resolution image structure; proprietary vs. open WSI formats (SVS, NDPI, DICOM WSI); storage, memory, and bandwidth considerations; practical implications for computational pipelines12:15 – 13:00 - Stain Physics and Color Analysis - AJPhysics of stain absorption (Beer-Lambert law); H&amp;E and special stains from a computational perspective; stain vectors and color deconvolution; stain normalization approaches; quantification of chromogenic and fluorescent signals; inter-laboratory variability challengesLunch - 13:00 – 14:0014:00 – 14:45 - Image Processing Fundamentals - AJIntensity transformations; histogram processing; spatial filtering (smoothing and sharpening); morphological operations (erosion, dilation, opening, closing); practical applications in tissue analysis14:45 – 15:30 - Segmentation in Pathology - PMTissue vs. background detection; thresholding methods (global, Otsu’s, adaptive); region-based and edge-based approaches; nuclear and cell segmentation; the reference area problem15:30 – 15:45 - Coffee Break15:45 – 16:30 - Feature Extraction: Classical Approaches - AJMorphological features (size, shape, texture); nuclear and cellular descriptors; glandular and architectural features; tumor microenvironment metrics; building interpretable feature sets16:30 – 17:15 - Introduction to Machine Learning for Pathology - AJSupervised vs. unsupervised learning; training, validation, and test sets; classical methods (random forests, SVM); performance metrics and their clinical interpretation; avoiding common pitfalls17:15 – 18:00 - Introduction to Deep Learning - AJNeural network fundamentals; forward propagation and backpropagation (conceptual); activation functions; loss functions and optimization; regularisation techniques; training vs. inference; why deep learning transformed computational pathology18:00 – 18:15 - Day 1 Wrap-up and Q&amp;ASummary of key concepts; preview of Day 2; open questionsDay 2 08:30 – 09:00 Coffee &amp; Networking09:00 – 09:15 - Day 1 Recap and Day 2 Overview - PMBrief review of foundational concepts; outline of advanced topics09:15 – 10:00 - Deep Learning Architectures for Pathology - EKConvolutional neural networks (CNNs) explained; landmark architectures (ResNet, U-Net); Vision Transformers (ViT); classification, segmentation, and detection networks; transfer learning and domain adaptation10:00 – 10:45 - Training Strategies and Data Challenges - AJData preparation and patch extraction; annotation strategies and quality; handling class imbalance; data augmentation (geometric, color, stain); managing staining and scanner variability10:45 – 11:00 - Coffee Break11:00 – 11:45 - Multiple Instance Learning and Slide-Level Prediction - JWThe MIL paradigm for whole-slide analysis; attention-based aggregation; weakly supervised learning; from patches to patient-level predictions11:45 – 12:30 - Foundation Models and Vision-Language Models - EKSelf-supervised and contrastive learning; pathology foundation models (overview); vision-language models (CLIP, PathChat, CONCH); zero-shot classification; conversational AI for pathology; limitations and hallucination risks12:30 – 12:45 - Morning Q&amp;ALunch - 12:45 – 13:4513:45 – 14:30 - Clinical Applications I: Diagnostic Support - AJCancer detection and classification (breast, prostate, colorectal, lung); Gleason grading automation; metastasis detection; quality control and triage applications; discussion on clinical utility14:30 – 15:15 - Clinical Applications II: Biomarkers and Prognosis - JWIHC quantification (Ki-67, HER2, PD-L1); tumor microenvironment analysis; TIL assessment; predicting molecular features from H&amp;E survival and treatment response prediction; discussion on clinical utility15:15 – 15:30 - Coffee Break15:30 – 16:00 - Validation, Regulation, and Deployment - JAEvaluation metrics for classification, segmentation, detection; cross-validation and external validation; regulatory pathways (FDA, CE/MDR); algorithmic fairness and bias considerations; clinical integration and continuous monitoring16:00 – 16:30 - Model Interpretability and Explainable AI - EKWhy interpretability matters in clinical pathology; XAI techniques (saliency maps, Grad-CAM, attention visualization); accuracy vs. interpretability trade-offs; building pathologist trust16:30 – 17:00 - Emerging Technologies - AJMultiplex imaging analysis (mIF, IMC, spatial transcriptomics); multimodal data integration; federated learning; AI-augmented pathology workflows17:00 – 17:30 - Future Directions and the Pathologist’s Role - PMThe pathologist’s role in computational pathology development; integration of imaging with -omics data; AI-assisted reporting and case management; building multidisciplinary collaborations; career pathways and skill development17:30 – 18:00 - Open Discussion, Q&amp;A, and ClosingPanel discussion; participant questions; key takeaways; resources for continued learning; course evaluation; closing remarksSpeakers abbreviationsRC - Prof. Runjan Chetty Chief Medical Officer at Deciphex/DiagnexiaEK - Emre Köse Computational Pathologist @ DeciphexAJ - Andrew Janowczyk Assistant Professor at Emory UniversityJW - John Weldon Clinical AI Director @ DeciphexJA - Jonathan Armstrong AI Governance Lead @ DeciphexPM - Pierre Moulin MD, PhD — Chief Scientific Officer @ Deciphex
- **Event URL**: https://allevents.in/oxford/the-diagnexia-computational-pathology-course-2026/100001985726778248
- **Event Categories**: workshops, business, photography
- **Interested Audience**: 
  - total_interested_count: 0

## Ticket Details

- **Ticket URL**: https://consumer.pxf.io/c/1339408/3151484/39691?partnerpropertyid=1191892&MediaPartnerPropertyId=1191892&svlink=14105511&level=1&u=https%3A%2F%2Fwww.eventbrite.com%2Fe%2Fthe-diagnexia-computational-pathology-course-2026-tickets-1985726778248
- **Ticket Price Range**: min: 190.3, max: 271.56, currency: GBP

## Event venue details

- **city**: Oxford
- **state**: EN
- **country**: United Kingdom
- **location**: The Queen's College
- **lat**: 51.7527629
- **long**: -1.2510199
- **full address**: The Queen's College, High Street, Oxford, United Kingdom

## Event Organizer details

- **affiliate_id**: 10
- **organizer**: Diagnexia UK Ltd (https://allevents.in/org/diagnexia-uk-ltd/21891668)

## Event gallery

- **Alt text**: banner
  - **Image URL**: https://cdn-az.allevents.in/events6/banners/8468e847a3f49399d9d65cde1651faa7e6425dcdfb6273695f9b64b066799ca2-rimg-w915-h511-dc010001-gmir.jpg?v=1774285391
- **Alt text**: thumbnail
  - **Image URL**: https://cdn-az.allevents.in/events6/banners/80951fb46043b081c27ade7be0fade76fb6c1000bfcc047b52c28386ba457c2a-rimg-w400-h400-dc020102-gmir.jpg?v=1774285391

## FAQs

- **Q**: When is the event happening?
  - **A:** Tue, 18 Aug, 2026 at 09:00 am (+01:00)
- **Q**: Where is the event happening?
  - **A:** The Queen's College, High Street, Oxford, United Kingdom
- **Q**: What is the ticket price?
  - **A:** starting from 190.3 up to 271.56 GBP
- **Q**: Who is organizing the event?
  - **A:** Diagnexia UK Ltd
- **Q**: What type of event is this?
  - **A:** workshops, business, photography
- **Q**: Where can I find ticket details about The Diagnexia Computational Pathology Course 2026 ?
  - **A:** You can find ticket details about this event on AllEvents.

## Structured Data (JSON-LD)

```json
[
    {
        "@context": "https://schema.org",
        "@type": "Event",
        "name": "The Diagnexia Computational Pathology Course 2026",
        "image": "https://cdn-az.allevents.in/events6/banners/8468e847a3f49399d9d65cde1651faa7e6425dcdfb6273695f9b64b066799ca2-rimg-w915-h511-dc010001-gmir.jpg?v=1774285391",
        "startDate": "2026-08-18T09:00:00+01:00",
        "endDate": "2026-08-19T18:00:00+01:00",
        "url": "https://allevents.in/oxford/the-diagnexia-computational-pathology-course-2026/100001985726778248",
        "eventStatus": "https://schema.org/EventScheduled",
        "location": {
            "@type": "Place",
            "name": "The Queen's College",
            "address": {
                "@type": "PostalAddress",
                "streetAddress": "High Street",
                "postalCode": "OX1 4AW",
                "addressLocality": "Oxford",
                "addressRegion": "EN",
                "addressCountry": "GB"
            },
            "geo": {
                "@type": "GeoCoordinates",
                "latitude": "51.7527629",
                "longitude": "-1.2510199"
            }
        },
        "eventAttendanceMode": "https://schema.org/OfflineEventAttendanceMode",
        "description": "Explore AI, image analysis, and deep learning in pathology. A two-day intensive course on computational techniques transforming diagnostics.",
        "offers": [
            {
                "@type": "AggregateOffer",
                "availability": "https://schema.org/InStock",
                "priceCurrency": "GBP",
                "availabilityStarts": "2026-03-23",
                "availabilityEnds": "2026-08-19T18:00:00+01:00",
                "validFrom": "2026-03-23",
                "lowPrice": "190.30",
                "highPrice": "271.56",
                "price": "190.30",
                "url": "https://allevents.in/oxford/the-diagnexia-computational-pathology-course-2026/100001985726778248"
            },
            {
                "@type": "Offer",
                "availability": "https://schema.org/InStock",
                "priceCurrency": "GBP",
                "availabilityStarts": "2026-03-23",
                "availabilityEnds": "",
                "validFrom": "2026-03-23",
                "url": "https://allevents.in/oxford/the-diagnexia-computational-pathology-course-2026/100001985726778248",
                "price": "271.56",
                "name": "Consultant"
            },
            {
                "@type": "Offer",
                "availability": "https://schema.org/InStock",
                "priceCurrency": "GBP",
                "availabilityStarts": "2026-03-23",
                "availabilityEnds": "",
                "validFrom": "2026-03-23",
                "url": "https://allevents.in/oxford/the-diagnexia-computational-pathology-course-2026/100001985726778248",
                "price": "190.30",
                "name": "Trainee &amp; Students"
            }
        ],
        "organizer": [
            {
                "@type": "Organization",
                "name": "Diagnexia UK Ltd",
                "url": "https://allevents.in/org/diagnexia-uk-ltd/21891668"
            }
        ]
    }
]
```