Essays about: "prostate cancer classification"
Showing result 11 - 13 of 13 essays containing the words prostate cancer classification.
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11. Convolutional Neural Networks for Classification of Prostate Cancer Metastases Using Bone Scan Images
University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : Convolutional neural networks (CNNs) are used to classify directly on bone scan images in two medical tasks: classifying anterior / posterior pose, and classifying bone scan hotspots as metastatic / non-metastatic in patients with prostate cancer and suspected metastatic disease. The networks trained produce highly accurate results in both tasks and current methods are outperformed for all tested body regions when classifying metastatic / non-metastatic hotspots. READ MORE
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12. Classification in Bone Scintigraphy Images Using Convolutional Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : The main goal of this thesis is to design and implement a convolutional neural network (CNN) to classify whether hotspots in bone scintigraphy images represent cancer metastases, caused by prostate cancer, or some other physiological process. A side task was included, where another CNN was designed and trained to classify whether a bone scintigraphy image image is acquired from the front of the patient (anterior) or from the back (posterior). READ MORE
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13. Deep Learning with a DAG Structure for Segmentation and Classification of Prostate Cancer
University essay from Lunds universitet/Matematik LTHAbstract : Deep learning is a machine learning technique inspired by the biological nervous system. The method has been used more and more over the last decades. Within this thesis, convolutional neural networks (CNN:s) are used for Gleason classification of prostate cancer in histopathological images. READ MORE
