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

Healthcare
Charis NtakoliaElpiniki I Papageorgiou

Abstract

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 misleading, making the accurate and reliable diagnosis of bone metastasis a challenge. Artificial intelligence can play a crucial role as a decision support tool to alleviate the burden of generating manual annotations on images and therefore prevent oversights by medical experts. So far, several state-of-the-art convolutional neural networks (CNN) have been employed to address bone metastasis diagnosis as a binary or multiclass classification problem achieving adequate accuracy (higher than 90%). However, due to their increased complexity (number of layers and free parameters), these networks are severely dependent on the number of available training images that are typically limited within the medical domain. Our study was dedicated to the use of a new deep learning architecture that overcomes the computational burden by using a convolutional neural network with a significantly lower number of floating-point operations (FLOPs) and f...Continue Reading

References

Mar 3, 2004·European Journal of Nuclear Medicine and Molecular Imaging·Emilio BombardieriSven N Reske
Jul 22, 2009·Chinese Medical Sciences Journal = Chung-kuo I Hsüeh K'o Hsüeh Tsa Chih·Cheng LiChang-wu Zhou
Mar 14, 2013·Medical Image Analysis·Sebastian HegenbartGeorg Wimmer
Jul 28, 2016·Journal of Cancer Research and Therapeutics·Ali AslantasMurat Çakiroǧlu
Nov 21, 2018·Physics in Medicine and Biology·Timothy PerkRobert Jeraj
Feb 16, 2019·Computational Intelligence and Neuroscience·Liyong MaXuguang Wang
Sep 8, 2019·Annals of Nuclear Medicine·Florina-Gianina ElfarraSorin Viorel Parasca

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Citations

Mar 7, 2021·Diagnostics·Charis NtakoliaDimitrios Tsaopoulos
May 18, 2021·Computers in Biology and Medicine·Evgin Goceri

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Methods Mentioned

BETA
feature extraction

Software Mentioned

Adam
TensorFlow
Xception
MobileNet
CADBOSS
MobileNetV2
Syngo VE32B

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