Deep Learning in Mammography Breast Cancer Detection

Richa Agarwal, Moi Hoon Yap, Md Kamrul Hasan, Reyer Zwiggelaar, Robert Marti

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddPennod

34 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

Breast cancer incidence has increased in the past decades. Extensive efforts are being made for early detection to reduce the mortality rate. As one of the leading field in artificial intelligence, deep learning algorithms have been widely used in breast cancer research in recent years, ranging from detection, segmentation to classification. To provide insights and development in this field, we review and summarize the popular datasets and deep learning methods used in breast cancer detection, focusing on mammography. We provide a summary of the state-of-the-art deep learning methods in mammography breast cancer detection and its performance. We discuss the challenges in breast cancer detection and provide some new insights to advance the field.

Iaith wreiddiolSaesneg
TeitlArtificial Intelligence in Medicine
GolygyddionNiklas Lidströmer, Hutan Ashrafian
CyhoeddwrSpringer Nature
Tudalennau1287-1300
Nifer y tudalennau14
ISBN (Electronig)9783030645731
ISBN (Argraffiad)9783030645724
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 18 Chwef 2022

Cyfres gyhoeddiadau

EnwArtificial Intelligence in Medicine
CyhoeddwrElsevier
ISSN (Argraffiad)0933-3657

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