A Lightweight Convolutional Neural Network Architecture Applied for Bone Metastasis Classification in Nuclear Medicine: A Case Study on Prostate Cancer Patients

• Published in: Healthcare (Basel) Vol. 8; no. 4; p. 493
• Main Authors: Ntakolia, Charis, Diamantis, Dimitrios E., Papandrianos, Nikolaos, Moustakidis, Serafeim, Papageorgiou, Elpiniki I.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 18.11.2020; MDPI
• Subjects: Automation; Bones; Classification; Datasets; Decision making; Deep learning; Metastasis; Neural networks; Nuclear medicine; Patients; Prostate cancer; Scintigraphy; Tomography; Germany; lightweight look-behind fully convolutional neural network; deep learning; nuclear medicine; convolutional neural network; medical image; machine learning; bone metastasis classification

Bone metastasis is among the most frequent in diseases to patients suffering from metastatic cancer, such as breast or prostate cancer. A popular diagnostic method is bone scintigraphy where the whole body of the patient is scanned. However, hot spots that are presented in the scanned image can be m...