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  1. TMTV-Net: Fully Automated Total Metabolic Tumor Volume ... - GitHub

    This repository employs a deep-learning method for the automated segmentation of total metabolic tumor volume (TMTV) in whole-body [18]F-FDG PET/CT images, with an emphasis on multi-center generalizability.

  2. GitHub - KibromBerihu/ai4elife: This data-centric AI repository ...

    Introduction: Baseline 18F-FDG PET/CT image-driven features have shown predictive values in Diffuse Large B-cell lymphoma (DLBCL) patients. Notably, total metabolic active tumor volume (TMTV) and tumor dissemination (Dmax) have shown predictive values to characterize tumor burden and dissemination.

  3. Deep Learning Approach to Automatize TMTV Calculations

    Feb 6, 2022 · This generic deep learning model to compute TMTV in lymphomas can drastically reduce computation time of TMTV. The total metabolic tumor volume (TMTV) is a new prognostic factor in lymphomas that could benefit from automation with deep learning convolutional neural networks (CNN).

  4. TMTV-Net/README.md at main · qurit-frizi/TMTV-Net - GitHub

    Our model, TMTV-Net, is specifically designed to automate TMTV segmentation from PET/CT scans. TMTV-Net demonstrates robust performance and adaptability in TMTV segmentation across diverse multi-site external datasets, encompassing various lymphoma subtypes.

  5. TMTV-Net: fully automated total metabolic tumor volume

    Feb 8, 2024 · TMTV-Net demonstrates strong performance and generalizability in TMTV segmentation across multi-site external datasets, encompassing various lymphoma subtypes.

  6. Role of Artificial Intelligence in PET/CT Imaging for Management …

    May 1, 2023 · We highlight advancements in the role of neural networks for performing automated image segmentation to calculate PET-based imaging biomarkers such as the total metabolic tumor volume (TMTV).

  7. (PDF) TMTV-Net: fully automated total metabolic tumor volume ...

    Feb 8, 2024 · Purpose Total metabolic tumor volume (TMTV) segmentation has significant value enabling quantitative imaging biomarkers for lymphoma management. In this work, we tackle the challenging task...

  8. In this study, we propose a two-step cascaded segmenta-tion approach to facilitate TMTV quantification and efec-tively handle the variability in lesion sizes and locations in lymphoma cases.

  9. Clinical evaluation of AI-generated total metabolic tumor volume …

    Mar 1, 2024 · Artificial intelligence (AI) offers a solution for automating TMTV measurement, thereby enhancing its clinical utility. This study aimed to develop and clinically evaluate a deep-learning-based image segmentation algorithm for automatic TMTV measurement in metastatic non-small cell lung cancer (NSCLC) patients.

  10. (PDF) Deep Learning Approach to Automatize TMTV

    Feb 6, 2022 · The total metabolic tumor volume (TMTV) is a new prognostic factor in lymphomas that could benefit from automation with deep learning convolutional neural networks (CNN). Manual TMTV...

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