Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application.

ABSTRACT: Bone metastasis is one of the most frequent diseases in prostate cancer; scintigraphy imaging is particularly important for the clinical diagnosis of bone metastasis. Up to date, minimal research has been conducted regarding the application of machine learning with emphasis on modern efficient convolutional neural networks (CNNs) algorithms, for the diagnosis of prostate cancer metastasis from bone scintigraphy images. The advantageous and outstanding capabilities of deep learning, machine learning's groundbreaking technological advancement, have not yet been fully investigated regarding their application in computer-aided diagnosis systems in the field of medical image analysis, such as the problem of bone metastasis classification in whole-body scans. In particular, CNNs are gaining grea

SUBMITTER: Papandrianos N 

PROVIDER: S-EPMC7428190 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature