Pathology

Refined Annotation Leads to Precise Diagnostics: Boosting Pathology Dataset with Codatta’s Royalty Model

Refined Annotation Leads to Precise Diagnostics: Boosting Pathology Dataset with Codatta’s Royalty Model

The Enhanced Gleason Grading Annotations for the TCGA PRAD Dataset represent a collaboration between Codatta and DPath.ai, setting a new standard for AI-ready pathology data.

By Tess Li
Task Call: Creation of Large-Scale Annotations for Tumor Budding and Poorly Differentiated Cluster in Colorectal Cancer

Task Call: Creation of Large-Scale Annotations for Tumor Budding and Poorly Differentiated Cluster in Colorectal Cancer

The article outlines the clinical importance of TB and PDCs, current challenges in manual assessment, project goals, related work in computational pathology, and detailed guidelines for dataset preparation and annotation.

By Daniel
Deep Dive into Codatta’s Medical Image Annotation Platform: A Proposal with Contributors’ Best Interests in Mind

Deep Dive into Codatta’s Medical Image Annotation Platform: A Proposal with Contributors’ Best Interests in Mind

Codatta’s medical image annotation platform uses blockchain to enhance the quality and distribution of pathology image annotations. It features a hierarchical management system with roles such as General Manager and Organ Managers, and a contributor base.

By Daniel
Revolutionizing Pathology Image Annotation: A Paradigm Shift to a Universal Labeling and Annotation Protocol

Revolutionizing Pathology Image Annotation: A Paradigm Shift to a Universal Labeling and Annotation Protocol

Public digital pathology datasets face challenges in annotation standards and reliability. A blockchain-based collaborative platform can enhance these datasets, ensuring fair compensation and quality control.

By Daniel