Deep supervised residual U-Net for automatic characterization of lesions on68Ga-PSMA PET/CT images
1217 Purpose: The emerging PSMA targeted radionuclide therapy provides an effective
method for the treatment of advanced metastatic prostate cancer. To optimize the therapeutic …
method for the treatment of advanced metastatic prostate cancer. To optimize the therapeutic …
[CITATION][C] Multi-Task Deep Learning for the Detection of Lesions on 68Ga-PSMA PET/CT Imaging
Purpose: The emerging PSMA targeted radionuclide therapy provides an effective method
for the treatment of advanced metastatic prostate cancer. To optimize diagostics, therapy …
for the treatment of advanced metastatic prostate cancer. To optimize diagostics, therapy …
Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT
Purpose This study proposes an automated prostate cancer (PC) lesion characterization
method based on the deep neural network to determine tumor burden on 68 Ga-PSMA-11 …
method based on the deep neural network to determine tumor burden on 68 Ga-PSMA-11 …
Deep neural network for automatic characterization of lesions on 68Ga-PSMA PET/CT Images
The emerging PSMA-targeted radionuclide therapy provides an effective method for the
treatment of advanced metastatic prostate cancer. To optimize the therapeutic effect and …
treatment of advanced metastatic prostate cancer. To optimize the therapeutic effect and …
miTNM nodal and metastatic prostate cancer staging using deep learning in 68Ga-PSMA-11 and 18F-DCFPyL PET/CT
P447 Introduction: PSMA-ligand PET/CT has shown high accuracy for prostate cancer
staging. The potential presence of tracer uptake pitfalls and stage-determinant sub …
staging. The potential presence of tracer uptake pitfalls and stage-determinant sub …
[HTML][HTML] Fully automatic prognostic biomarker extraction from metastatic prostate lesion segmentations in whole-body [68Ga]Ga-PSMA-11 PET/CT images
J Kendrick, RJ Francis, GM Hassan… - European Journal Of …, 2022 - Springer
Purpose This study aimed to develop and assess an automated segmentation framework
based on deep learning for metastatic prostate cancer (mPCa) lesions in whole-body [68Ga] …
based on deep learning for metastatic prostate cancer (mPCa) lesions in whole-body [68Ga] …
Verification of Automatic Detection of Prostate Cancer Lesion with68Ga-PSMA PET/CT Images Using Deep Supervised Residual U-Net
Z Huang, Y Zhao, X Li, C Zuo, Y Guan, A Rominger… - 2020 - Soc Nuclear Med
1353 Purpose: Characterizing lesions on PSMA PET/CT plays a critical role in the diagnosis,
treatment planning and monitoring and theranostics of prostate cancer (PC). An end-to-end …
treatment planning and monitoring and theranostics of prostate cancer (PC). An end-to-end …
Deep learning–based whole-body characterization of prostate cancer lesions on [68Ga]Ga-PSMA-11 PET/CT in patients with post-prostatectomy recurrence
B Huang, Q Yang, X Li, Y Wu, Z Liu, Z Pan… - European Journal of …, 2024 - Springer
Purpose The automatic segmentation and detection of prostate cancer (PC) lesions
throughout the body are extremely challenging due to the lesions' complexity and variability …
throughout the body are extremely challenging due to the lesions' complexity and variability …
[HTML][HTML] Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT
Here, we aimed to develop and validate a fully automated artificial intelligence (AI)-based
method for the detection and quantification of suspected prostate tumour/local recurrence …
method for the detection and quantification of suspected prostate tumour/local recurrence …
[HTML][HTML] Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Purpose Automatic and accurate segmentation of lesions in images of metastatic castration-
resistant prostate cancer has the potential to enable personalized radiopharmaceutical …
resistant prostate cancer has the potential to enable personalized radiopharmaceutical …