[HTML][HTML] Multi-institutional PET/CT image segmentation using federated deep transformer learning
Abstract Background and Objective Generalizable and trustworthy deep learning models for
PET/CT image segmentation necessitates large diverse multi-institutional datasets …
PET/CT image segmentation necessitates large diverse multi-institutional datasets …
PET/MR imaging in head and neck cancer
M Becker, C de Vito, N Dulguerov… - Magnetic Resonance …, 2023 - mri.theclinics.com
The rationale behind the integration of PET and MR imaging lies in the complementary
strengths of each modality. PET provides metabolic information using radiotracers, whereas …
strengths of each modality. PET provides metabolic information using radiotracers, whereas …
Modern management of distant metastases from head and neck squamous cell carcinoma
The occurrence of distant metastases in HNSCC represents a pivotal point in the disease
progression, lowering survival rates. Pattern of distant metastases has been related to …
progression, lowering survival rates. Pattern of distant metastases has been related to …
Self-adaptive 2D3D image fusion for automated pixel-level pavement crack detection
Current 2D and 3D image-based crack detection methods in transportation infrastructure
often struggle with noise robustness and feature diversity. To overcome these challenges …
often struggle with noise robustness and feature diversity. To overcome these challenges …
[HTML][HTML] Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans
Results In the head and neck, chest, chest-abdomen interval, abdomen, and pelvis regions,
the best models achieved area under the curve, accuracy, sensitivity, and specificity of [0.97 …
the best models achieved area under the curve, accuracy, sensitivity, and specificity of [0.97 …
Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
M Górka, D Jaworek, M Wodzinski - arXiv preprint arXiv:2404.09761, 2024 - arxiv.org
Cancer is one of the leading causes of death globally, and early diagnosis is crucial for
patient survival. Deep learning algorithms have great potential for automatic cancer …
patient survival. Deep learning algorithms have great potential for automatic cancer …
Machine learning-based analysis of 68Ga-PSMA-11 PET/CT images for estimation of prostate tumor grade
Early diagnosis of prostate cancer, the most common malignancy in men, can improve
patient outcomes. Since the tissue sampling procedures are invasive and sometimes …
patient outcomes. Since the tissue sampling procedures are invasive and sometimes …