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ICOCPA · Registering as Listener

International Conference on Computational Pathology and Applications

4 - 5 Jun 2027 Riga, Latvia Standard / Physical Participation
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$125
virtual · $155 in person
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Registration summary

ConferenceICOCPA
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

ICOCPA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 - Good Health and Well-being SDG 4 - Quality Education SDG 9 - Industry, Innovation and Infrastructure SDG 17 - Partnerships for the Goals
01 Artificial Intelligence in Pathology +
This track focuses on the integration of artificial intelligence and deep learning techniques in the field of computational pathology. Discussions will encompass innovative algorithms and their applications in enhancing diagnostic accuracy and efficiency.
02 Stain Normalization and Standardization Techniques +
This session will explore methodologies for stain normalization and standardization in histopathological images. Emphasis will be placed on improving reproducibility and comparability of results across different laboratories.
03 Detection and Classification of Tissue Structures +
This track will address advanced methods for the detection and classification of various tissue structures using computational techniques. Participants will present novel approaches that enhance the precision of tissue analysis.
04 Predictive and Prognostic Biomarkers Discovery +
This session will delve into the detection and discovery of predictive and prognostic tissue biomarkers through computational pathology. The focus will be on methodologies that facilitate the identification of biomarkers linked to patient outcomes.
05 Whole-Slide Image Analysis +
This track will cover the latest advancements in whole-slide image analysis, including segmentation and feature extraction techniques. The session aims to highlight the role of computational tools in transforming large-scale histopathological data into actionable insights.
06 Image Registration Techniques +
This session will focus on the methodologies for the registration of whole-slide images, addressing challenges and solutions in aligning images from different sources. Participants will share innovative approaches to improve the accuracy of image registration.
07 Immunohistochemistry Scoring Innovations +
This track will explore advancements in immunohistochemistry scoring methodologies, emphasizing automated and semi-automated approaches. The goal is to enhance the reliability and reproducibility of scoring in clinical settings.
08 Multiplexed Staining Techniques +
This session will discuss the latest developments in multiplexed staining techniques for tissue analysis. The focus will be on how these techniques can provide comprehensive insights into tissue microenvironments.
09 Unlabeled Multiplexing in Pathology +
This track will investigate the applications of unlabeled multiplexing in computational pathology. Discussions will center on innovative strategies that leverage unlabeled data for enhanced tissue characterization.
10 Crowdsourcing for Ground Truth Collection +
This session will focus on the role of crowdsourcing in the collection of ground truth data for machine learning applications in pathology. Participants will share successful case studies and methodologies that harness community engagement.
11 Clinical Applications of Computational Pathology +
This track will explore the practical applications of computational pathology in clinical settings. Emphasis will be placed on case studies that demonstrate the impact of computational methods on patient care and outcomes.