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Deep Learning for Breast Cancer Detection in Ultrasound Imaging: Classification, Managing Data Scarcity and Detecting Out-of-Distribution Samples
Jennie Karlsson
Computer Vision and Machine Learning
LU Profile Area: Natural and Artificial Cognition
eSSENCE: The e-Science Collaboration
Mathematics (Faculty of Engineering)
Research output
:
Thesis
›
Licentiate Thesis
40
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Dive into the research topics of 'Deep Learning for Breast Cancer Detection in Ultrasound Imaging: Classification, Managing Data Scarcity and Detecting Out-of-Distribution Samples'. Together they form a unique fingerprint.
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Computer Science
Ultrasound
100%
Sample Distribution
100%
Managing Data
100%
Deep Learning Method
100%
Ultrasound Image
66%
Ultrasound Data
50%
Quantification
33%
Data Augmentation
33%
Convolutional Neural Network
16%
Diagnosis
16%
Contributing Factor
16%
High Income Country
16%
Classification Task
16%
classification result
16%
Image Classification
16%
Mathematics
Points
100%
Uncertainty Quantification
25%
Biochemistry, Genetics and Molecular Biology
Ultrasound
100%
Survival
7%
Energy
7%
Cancer Classification
7%
Material Science
Paper
100%