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Recent Advances in AI-enabled Automated Medical Diagnosis

Research output: Book/Report/ProceedingsBook

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Recent Advances in AI-enabled Automated Medical Diagnosis. / Jiang, Richard (Editor); Zhang, Li (Editor); Wei, Hua-Liang (Editor); Crookes, Danny (Editor); Chazot, Paul (Editor).

London : Routledge, 2022. 370 p.

Research output: Book/Report/ProceedingsBook

Harvard

APA

Vancouver

Jiang R, (ed.), Zhang L, (ed.), Wei H-L, (ed.), Crookes D, (ed.), Chazot P, (ed.). Recent Advances in AI-enabled Automated Medical Diagnosis. London: Routledge, 2022. 370 p.

Author

Jiang, Richard (Editor) ; Zhang, Li (Editor) ; Wei, Hua-Liang (Editor) ; Crookes, Danny (Editor) ; Chazot, Paul (Editor). / Recent Advances in AI-enabled Automated Medical Diagnosis. London : Routledge, 2022. 370 p.

Bibtex

@book{72bed06877e74732a4edc388fa8106d5,
title = "Recent Advances in AI-enabled Automated Medical Diagnosis",
abstract = "Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.",
editor = "Richard Jiang and Li Zhang and Hua-Liang Wei and Danny Crookes and Paul Chazot",
year = "2022",
month = sep,
day = "15",
language = "English",
isbn = "9781032008431",
publisher = "Routledge",

}

RIS

TY - BOOK

T1 - Recent Advances in AI-enabled Automated Medical Diagnosis

A2 - Jiang, Richard

A2 - Zhang, Li

A2 - Wei, Hua-Liang

A2 - Crookes, Danny

A2 - Chazot, Paul

PY - 2022/9/15

Y1 - 2022/9/15

N2 - Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.

AB - Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.

M3 - Book

SN - 9781032008431

BT - Recent Advances in AI-enabled Automated Medical Diagnosis

PB - Routledge

CY - London

ER -