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https://hdl.handle.net/2142/97889
Description
Title
Prostate cancer diagnosis with deep learning
Author(s)
Wang, Bangqi
Contributor(s)
Parameswaran, Aditya
Issue Date
2017-12
Keyword(s)
prostate cancer, deep learning, data augmentation
Abstract
Prostate cancer is one of the most common cancers and the second leading
cause of death among American men. However, prostate cancer diagnosis
is one of the most urgent problems confronted by scientific research.
Accurate prostate cancer diagnosis needs a great degree of medical knowledge and is
usually based on experience. It is hard for ordinary men to diagnose
prostate cancer by themselves. This project aims to eliminate the
knowledge
barrier and provide a precise and effective method using deep learning.
This project uses a deep learning neural network to build a binary classifier for
prostate needle biopsies from patients. The project enlarges the prostate
cancer needle biopsies dataset using randomly cutting, builds the deep learning
network binary classifier, and generates predictions for the biopsies. The
classifier will assign a benign or malignant label to every biopsy with accuracy near 100%.
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