retrospective physiologic denoising algorithm Search Results


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Kaggle Inc kaggle-ii
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Data Overview: Comprehensive overview of the datasets examined within the DL literature review centered on brain tumor classification tasks and MRI data. Essential information regarding dimensionality, sample size, anatomical plane, MRI modalities, and pre-processing methods are summarized.
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Comparing VER-Net with recent literature
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Comparing VER-Net with recent literature
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Comparing VER-Net with recent literature
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Comparing VER-Net with recent literature
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Image Search Results


Data Overview: Comprehensive overview of the datasets examined within the DL literature review centered on brain tumor classification tasks and MRI data. Essential information regarding dimensionality, sample size, anatomical plane, MRI modalities, and pre-processing methods are summarized.

Journal: Cancers

Article Title: Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology

doi: 10.3390/cancers16020300

Figure Lengend Snippet: Data Overview: Comprehensive overview of the datasets examined within the DL literature review centered on brain tumor classification tasks and MRI data. Essential information regarding dimensionality, sample size, anatomical plane, MRI modalities, and pre-processing methods are summarized.

Article Snippet: 115 , Vankdothu et al. [ ] (2022) , 2D , Kaggle-II , - , 3264 , - , - , Grayscaling, rotation, denoising, tumor ROI , -.

Techniques: Transformation Assay, Sampling, Shear

Comparing VER-Net with recent literature

Journal: BMC Medical Imaging

Article Title: VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images

doi: 10.1186/s12880-024-01238-z

Figure Lengend Snippet: Comparing VER-Net with recent literature

Article Snippet: Worku et al. [ ] , Denoising first two-path CNN (DFD-Net) , Kaggle Data Science Bowl 2017 challenge (KDSB) and LUNA 16 , 87.80%.

Techniques: