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University of Illinois at Urbana-Champaign

Quantitative pathology using deep learning

dc:creator Fanous, Michael John

thesis:degree_name Ph.D.

dc:date2022

Abstract

dc:description

Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms

Degree

thesis:*

Name thesis:degree_name: Ph.D.
Level thesis:degree_level: Dissertation
Discipline thesis:degree_discipline: Bioengineering
Grantor: University of Illinois at Urbana-Champaign
Year dc:date: 2022

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Fanous, Michael John
Contributors dc:contributor: Anastasio, Mark A
Insana, Michael
Sutton, Brad
Dobrucki, Wawrzyniec

Subjects

dc:subject × 3

Rights

dc:rights

Statement dc:rights: Copyright 2022 Michael Fanous
Language dc:language: en, eng

Identifiers

dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2142/117805
OAI identifier oai:identifier: oai:www.ideals.illinois.edu:2142/117805

Chain of custody

source

Harvested from: University of Illinois - Urbana-Champaign
Base URL: www.ideals.illinois.edu/oai-pmh
Last updated: 2026-07-22
Source record: OAI-PMH GetRecord

related terms

citation

Fanous, Michael John. Quantitative pathology using deep learning. Dissertation thesis, University of Illinois at Urbana-Champaign, 2022. https://hdl.handle.net/2142/117805

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