An end-to-end automatic lesion detection system in whole-body bone scintigraphy by deep learning.
S Huang, K Huang, X Li, S Li, Y Gao, Y Liang - 2021 - Soc Nuclear Med
142 Objectives: Due to the limitation of image resolution and visual contrast, bone
scintigraphy interpretation is susceptible to subjective factors, such as experience of …
scintigraphy interpretation is susceptible to subjective factors, such as experience of …
An end-to-end multi-task system of automatic lesion detection and anatomical localization in whole-body bone scintigraphy by deep learning
K Huang, S Huang, G Chen, X Li, S Li, Y Liang… - …, 2023 - academic.oup.com
Limited by spatial resolution and visual contrast, bone scintigraphy interpretation is
susceptible to subjective factors, which considerably affects the accuracy and repeatability of …
susceptible to subjective factors, which considerably affects the accuracy and repeatability of …
Improvement of Image Quality in Low-Count Bone Scintigraphy Using Deep Learning
T Murata, M Onoguchi, T Hashimoto, T Shibutani… - 2023 - researchsquare.com
Objective To improve image quality for low-count bone scintigraphy whole-body images
using deep learning and evaluate their applicability in clinical practice. Methods Five …
using deep learning and evaluate their applicability in clinical practice. Methods Five …
[HTML][HTML] A parallel deep learning network framework for whole-body bone scan image analysis
X Pu, G Tang, K Cai, Y Huang, M Ping, Z Peng, H Qiu - Annals of Oncology, 2019 - Elsevier
Background A parallel deep learning network framework for whole-body bone scan image
analysis Whole-body bone scan image analysis in nuclear medicine is a common method …
analysis Whole-body bone scan image analysis in nuclear medicine is a common method …
[HTML][HTML] Automatic identification of suspicious bone metastatic lesions in bone scintigraphy using convolutional neural network
Y Liu, P Yang, Y Pi, L Jiang, X Zhong, J Cheng… - BMC medical …, 2021 - Springer
Background We aimed to construct an artificial intelligence (AI) guided identification of
suspicious bone metastatic lesions from the whole-body bone scintigraphy (WBS) images by …
suspicious bone metastatic lesions from the whole-body bone scintigraphy (WBS) images by …
Artificial intelligence assisted bone lesion detection and classification in computed tomography scans of prostate cancer patients.
e17567 Background: Patients diagnosed with prostate cancer undergo computed
tomography (CT) for pretreatment staging to rule out bone metastases. However, detection …
tomography (CT) for pretreatment staging to rule out bone metastases. However, detection …
Automated diagnosis of bone metastasis based on multi-view bone scans using attention-augmented deep neural networks
Y Pi, Z Zhao, Y Xiang, Y Li, H Cai, Z Yi - Medical Image Analysis, 2020 - Elsevier
Bone scintigraphy is accepted as an effective diagnostic tool for whole-body examination of
bone metastasis. However, the manual analysis of bone scintigraphy images requires …
bone metastasis. However, the manual analysis of bone scintigraphy images requires …
Automatic hierarchical classification and additional CT suggestion by deep convolutional neural networks for bone scintigraphy
P Yang, Y Pi, L Jiang, Y Xiang, J Wei, Z Zhao, L Li, Z Yi… - 2021 - Soc Nuclear Med
1177 Introduction: Previous studies demonstrated that an automatic computer-aided
diagnosis (CAD) system based on artificial neural networks could effectively identify the …
diagnosis (CAD) system based on artificial neural networks could effectively identify the …
[PDF][PDF] Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
P Lovinfosse, A Jadoul, C Derwael… - AI applications in …, 2023 - cris.maastrichtuniversity.nl
1 BACKGROUND Metastatic bone disease (MBD) is the most common form of metastatic
lesions [1, 2]. The incidence of bone metastasis varies depending on the cancer type [3], yet …
lesions [1, 2]. The incidence of bone metastasis varies depending on the cancer type [3], yet …
Deep learning-based detection of bone lesions in 99mTc-MDP SPECT: comparison with human observers
Y Petibon, F Fahey, X Cao, Z Levin, B Sexton-Stallone… - 2020 - Soc Nuclear Med
510 Objectives: Low back pain (LBP) is a common symptom in the pediatric population, with
an especially high incidence among young athletes. 99m Tc-MDP SPECT is well …
an especially high incidence among young athletes. 99m Tc-MDP SPECT is well …
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