525 - Automatic classification of myocardial 18-FDG uptake patterns using deep learning (ID 1301) - Society of Nuclear Medicine and Molecular Imaging 2020 Annual Meeting

525 - Automatic classification of myocardial 18-FDG uptake patterns using deep learning (ID 1301)

Physics, Instrumentation & Data Sciences -> Data Sciences 525

525 - Automatic classification of myocardial 18-FDG uptake patterns using deep learning (ID 1301)

Session Name

Artificial Intelligence for Image Enhancement/Analysis and Disease Assessment

Speakers

N. Josselyn

Authors

Presentation Topic

Physics, Instrumentation & Data Sciences -> Data Sciences

Presentation Number

525

Previous Eposter

524 - Optimal Feature Selection and Machine Learning for Prediction of Outcome in Parkinson’s Disease (ID 1303)

Next Eposters

526 - Machine learning based dual tracer FDG+68Ga-DOTATATE PET imaging for the diagnosis of neuroendocrine tumor (ID 1304)

527 - A deep learning-based approach for lesion classification in 3D ¹⁸F-DCFPyL PSMA PET images of patients with prostate cancer (ID 1300)

528 - Tumor Anti-Vascular Alpha Therapy with a ²¹²Pb in vivo alpha generator: A mathematical model to improve treatment planning (ID 266)

529 - Automated small-scale radiopharmaceutical distribution analysis for patient bone biopsy based on histopathological and ²²³Ra autoradiographic images (ID 263)

530 - Minimizing the clinical requirements for kidney dosimetry in 177Lu-DOTATATE with reduced timepoint imaging and neural network segmentation (ID 267)

525 - Automatic classification of myocardial 18-FDG uptake patterns using deep learning (ID 1301)

525 - Automatic classification of myocardial 18-FDG uptake patterns using deep learning (ID 1301)

Previous Eposter

524 - Optimal Feature Selection and Machine Learning for Prediction of Outcome in Parkinson’s Disease (ID 1303)

Next Eposters

526 - Machine learning based dual tracer FDG+68Ga-DOTATATE PET imaging for the diagnosis of neuroendocrine tumor (ID 1304)

527 - A deep learning-based approach for lesion classification in 3D ¹⁸F-DCFPyL PSMA PET images of patients with prostate cancer (ID 1300)

528 - Tumor Anti-Vascular Alpha Therapy with a ²¹²Pb in vivo alpha generator: A mathematical model to improve treatment planning (ID 266)

529 - Automated small-scale radiopharmaceutical distribution analysis for patient bone biopsy based on histopathological and ²²³Ra autoradiographic images (ID 263)

530 - Minimizing the clinical requirements for kidney dosimetry in 177Lu-DOTATATE with reduced timepoint imaging and neural network segmentation (ID 267)

531 - Radium-223 Treated Primary Patient Bone Biopsy Analysis: Macro to Microscale Analyses and Dosimetry (ID 261)

532 - Practical Considerations for Quantitative Clinical SPECT/CT Imaging of Alpha Particle Emitting Radioisotopes (ID 268)

533 - Experimental validation of Monte Carlo-generated beta absorbed doses for 3D voxelwise dosimetry (ID 264)

535 - Collapsed-cone convolution superposition for improved accuracy of voxelwise dosimetry (ID 265)

536 - Muath Helal (ID 363)

525 - Automatic classification of myocardial 18-FDG uptake patterns using deep learning (ID 1301)

525 - Automatic classification of myocardial 18-FDG uptake patterns using deep learning (ID 1301)

Previous Eposter

524 - Optimal Feature Selection and Machine Learning for Prediction of Outcome in Parkinson’s Disease (ID 1303)

Next Eposters

526 - Machine learning based dual tracer FDG+68Ga-DOTATATE PET imaging for the diagnosis of neuroendocrine tumor (ID 1304)

527 - A deep learning-based approach for lesion classification in 3D 18F-DCFPyL PSMA PET images of patients with prostate cancer (ID 1300)

528 - Tumor Anti-Vascular Alpha Therapy with a 212Pb in vivo alpha generator: A mathematical model to improve treatment planning (ID 266)

529 - Automated small-scale radiopharmaceutical distribution analysis for patient bone biopsy based on histopathological and 223Ra autoradiographic images (ID 263)

530 - Minimizing the clinical requirements for kidney dosimetry in 177Lu-DOTATATE with reduced timepoint imaging and neural network segmentation (ID 267)

531 - Radium-223 Treated Primary Patient Bone Biopsy Analysis: Macro to Microscale Analyses and Dosimetry (ID 261)

532 - Practical Considerations for Quantitative Clinical SPECT/CT Imaging of Alpha Particle Emitting Radioisotopes (ID 268)

533 - Experimental validation of Monte Carlo-generated beta absorbed doses for 3D voxelwise dosimetry (ID 264)

535 - Collapsed-cone convolution superposition for improved accuracy of voxelwise dosimetry (ID 265)

536 - Muath Helal (ID 363)

527 - A deep learning-based approach for lesion classification in 3D ¹⁸F-DCFPyL PSMA PET images of patients with prostate cancer (ID 1300)

528 - Tumor Anti-Vascular Alpha Therapy with a ²¹²Pb in vivo alpha generator: A mathematical model to improve treatment planning (ID 266)

529 - Automated small-scale radiopharmaceutical distribution analysis for patient bone biopsy based on histopathological and ²²³Ra autoradiographic images (ID 263)