Utilization of deep learning to accurately determine cell of origin in canine follicular and medullary thyroid carcinomas on routinely processed, H&E-stained tissue sections

Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

VMS-Veterinary Clinical Medcne

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Athey, Jillian M.

Contributors dc:contributor

• Bailey, Keith
• Rudmann, Dan
• Baumgartner, Wes
• Selting, Kim
• Vieson, Miranda

• canine
• thyroid carcinoma
• artificial intelligience
• histopathology
• thyroid
• oncology
• follicular carcinomas
• medullary carcinoma
• supervised learning

Statement dc:rights

• Copyright 2022 Jillian Athey

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/116040

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/116040