Clinical evaluation of deep learning‐enhanced lymphoma pet ...

FDG PET scans using deep neural networks to reduce noise

Deep learning-assisted PET ... clinical evaluation. Our quantitative ... PET/CT detection of diseased lymph node burden in patients with lymphoma.

Clinical and phantom validation of a deep learning based denoising ...

Quantitative standardized uptake value evaluation of 4x faster pet scans enhanced using deep learning. RSNA. 2019. Leite J, Tukamoto G ...

Deep Learning PET Imaging Model for Lymphoma Shows Clinical ...

The study utilised specific imaging protocols and split the MSK dataset into 80% training data and 20% held-out test data for evaluation.

Radiology AI Research and Publications - Subtle Medical

... Evaluation of 4x Faster PET Scans Enhanced Using Deep LearningRead; ISMRM ... Clinical Performance of Reduced Gadolinium Dose for Contrast-Enhanced Brain MRI ...

Deep learning for [¹⁸F]fluorodeoxyglucose-PET-CT classification in ...

LARS=Lymphoma Artificial Reader System. MIP=maximum intensity projection. MSK=Memorial Sloan Kettering Cancer Center. MUV=Medical University of ...

Positron Emission Tomography (PET) - Medical Clinical ... - Aetna

FDG-PET scans are considered medically necessary for the diagnosis Footnotes2*, staging and re-staging of Hodgkin lymphoma when the general medical necessity ...

Extracting value from total-body PET/CT image data - Cancer Imaging

18F-FDG PET/CT uptake classification in Lymphoma and Lung Cancer by using deep convolutional neural networks. ... Quantitative evaluation of a ...

Comprehensive Evaluation and Insights into the Use of Deep Neural ...

Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. Report ...

GE HealthCare Receives FDA Clearance of a New Deep Learning ...

A type of artificial intelligence (AI), Deep Learning (DL) technology can advance medical imaging capabilities by providing more robust, ...

Risk-Adapted Treatment of Advanced Hodgkin Lymphoma With PET ...

Several randomized clinical trials have compared some version of escBEACOPP to ABVD and have shown an improved progression-free survival (PFS) without any ...

Deep learning applications in visual data for benign and malignant ...

Automated quantification of baseline imaging PET metrics on FDG PET/CT images of pediatric Hodgkin lymphoma patients. EJNMMI Phys. 2020; 7(1): ...

Comparative effectiveness of standard vs. AI-assisted PET/CT ...

AI-assisted PET/CT reading workflow for pre-treatment lymphoma staging: a multi-institutional reader study evaluation. \r\nRussell Frood, ...

Comparative study of the quantitative accuracy of oncological PET ...

Both deep learning models reduced the standard deviation (SD) of background, and increased the signal-to-noise ratio (SNR). When 8%PET images were used as input ...

a brief review of the Lugano classification and the role of FDG-PET/CT

... deep learning has been ... clinical application of FDG-PET/CT on lymphoma will be achieved. ... patients with lymphoma: a meta-analysis.

Quantitative Molecular Positron Emission Tomography Imaging ...

Deep learning in medical ultrasound analysis: a review. ... 18F-FDG PET/CT uptake classification in lymphoma and lung cancer by using deep convolutional neural ...

New PET technologies – embracing progress and pushing the limits

equivalent to a full count BPL image using a deep learning enhancement ... tate cancer: semi-quantitative and clinical evaluation. ... Full-dose PET ...

Deep learning aided preoperative diagnosis of primary central ...

... PET-CT in the diagnostic workflow increased accuracy. ... Lymphoma Using MR ... ∙ Singh, D. Convolutional Neural Network in Medical Image Analysis: A Review.

The promise of artificial intelligence and deep learning in PET ... - HUG

The clinical study performed on 895 patients revealed improved perfusion defect detection in deep learning-based filtered images re- flected by enhancement of ...

Deep learning-assisted PET imaging achieves fast scan/low-dose ...

In our clinical evaluation, the HYPER DLR method ... contrast, the subjective assessment showed a better ... 18F-FDG PET/CT in Restaging and Evaluation of Response ...

Radiological Techniques in the Diagnosis of Lymphoma

... better evaluation of lymphoma involvement. PET ... Artificial intelligence (AI) and machine learning (ML) have shown tremendous potential in revolutionizing ...