Publications by authors named "Johnathan Pocock"
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset.
IEEE J Biomed Health Inform
March 2024
Article Synopsis
- - LYSTO, the Lymphocyte Assessment Hackathon, took place during the MICCAI 2019 Conference in Shenzhen, focusing on automating the count of T-cells in cancer tissue images stained with specific markers.
- - Participants had limited time to develop their methods, and the competition included multiple phases and hands-on results, showcasing various approaches to the lymphocyte assessment task.
- - Post-competition analysis revealed that some participants achieved results comparable to professional pathologists, and the data and evaluation tools created during the hackathon are now available as a benchmark for future research.
Summary: Whole slide images (WSIs) are multi-gigapixel images of tissue sections, which are used in digital and computational pathology workflows. WSI datasets are commonly heterogeneous collections of proprietary or niche specialized formats which are challenging to handle. This note describes an open-source Python application for efficiently converting between WSI formats, including common, open, and emerging cloud-friendly formats.
View Article and Find Full Text PDFTIAToolbox as an end-to-end library for advanced tissue image analytics.
Commun Med (Lond)
September 2022
Background: Computational pathology has seen rapid growth in recent years, driven by advanced deep-learning algorithms. Due to the sheer size and complexity of multi-gigapixel whole-slide images, to the best of our knowledge, there is no open-source software library providing a generic end-to-end API for pathology image analysis using best practices. Most researchers have designed custom pipelines from the bottom up, restricting the development of advanced algorithms to specialist users.
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