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020 ▼a 9798819369524
035 ▼a (MiAaPQ)AAI29167355
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 621.3
1001 ▼a Zhang, Zhilu. ▼0 (orcid)0000-0001-5074-2094.
24510 ▼a Reliable Deep Learning with Application to Digital Histopathology Image Analysis.
260 ▼a [S.l.]: ▼b Cornell University., ▼c 2022.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2022.
300 ▼a 221 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 83-12, Section: B.
500 ▼a Advisor: Sabuncu, Mert.
5021 ▼a Thesis (Ph.D.)--Cornell University, 2022.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0058.
650 4 ▼a Electrical engineering.
650 4 ▼a Histology.
650 4 ▼a Pathology.
650 4 ▼a Medical imaging.
650 4 ▼a Health sciences.
690 ▼a 0544
690 ▼a 0574
690 ▼a 0414
690 ▼a 0571
690 ▼a 0566
71020 ▼a Cornell University. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertations Abstracts International ▼g 83-12B.
773 ▼t Dissertation Abstract International
790 ▼a 0058
791 ▼a Ph.D.
792 ▼a 2022
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16616770 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202302 ▼f 2023
990 ▼a ***1012033
991 ▼a E-BOOK