output
20212025
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

3 papers · 1 filter

cs.HC2023

Pathologists light level preferences using the microscope -- a study to guide digital pathology display use

Charlotte Jennings, Darren Treanor, David Brettle

There is a paucity of guidelines relating to displays in digital pathology making procurement decisions, and display configuration challenging. Experience suggests pathologists hav…

cs.LG2023★ 1 cited

Detecting Throat Cancer from Speech Signals using Machine Learning: A Scoping Literature Review

Mary Paterson, James Moor, Luisa Cutillo

Introduction: Cases of throat cancer are rising worldwide. With survival decreasing significantly at later stages, early detection is vital. Artificial intelligence (AI) and machin…

physics.med-ph2023★ 269 cited

Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy

Clare McGenity, Emily L Clarke, Charlotte Jennings +5

Ensuring diagnostic performance of AI models before clinical use is key to the safe and successful adoption of these technologies. Studies reporting AI applied to digital pathology…