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Thesis

Spectral analysis of breast ultrasound data with application to mass sizing and characterization

Abstract:

Ultrasound is a commonly used imaging modality in diagnosis and pre-operative assessment of breast masses. However, radiologists often find it very difficult to correctly size masses using conventional ultrasound images. Consequently, there exists a strong need for more accurate sizing tools to avoid either the removal of an over-estimated amount of tissue or a second surgical procedure to remove margins involved by tumour not removed in the primary operation.

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Institution:
University of Oxford
Research group:
Biomedical Image Analysis Laboratory
Oxford college:
St Hilda's College
Department:
Mathematical,Physical & Life Sciences Division - Engineering Science
Role:
Author

Contributors

Role:
Supervisor
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
URN:
uuid:8768959f-cc5a-476d-b924-5a5d7df31b8d
Local pid:
ora:11357

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