Aug 28, 2020 · We demonstrate the effectiveness of our approach on public soft tissue sarcoma data, which comprises MRI (T1 and T2 sequence) and PET/CT scans.
Oct 1, 2020 · We develop a modality-specific sarcoma segmentation model that utilizes multimodal image data to improve the tumor delineation on each individual modality.
We demonstrate the effectiveness of our approach on public soft tissue sarcoma data, which comprises MRI (T1 and T2 sequence) and PET/CT scans. The results show ...
Sep 5, 2024 · We demonstrate the effectiveness of our approach on public soft tissue sarcoma data, which comprises MRI (T1 and T2 sequence) and PET/CT scans.
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Jul 1, 2024 · The main objective of the soft tissue sarcoma segmentation task is to label malignant tumors in soft tissues at the pixel level. Deep learning ...
Jun 21, 2024 · This study aimed to analyze articles on the diagnosis and treatment of bone and soft tissue sarcoma using positron emission tomography (PET)/computed ...
This article proposes a summary of the current status of the research regarding the use of radiomics and artificial intelligence to improve the radiological ...
Oct 8, 2020 · ... Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data" at the ML-CDS Workshop of @MICCAI2020! #miccai2020 https://t.co/X6mzNQJWdB.
Sep 21, 2021 · Deep Learning for more precise tumor segmentation. Deep learning combines soft tissue tumor data from MR-, CT- and PET-images for more efficient ...
We describe the collection of an MR imaging dataset of 199 musculoskeletal soft tissue tumors from 199 patients.