بدائل البحث:
segmentation algorithm » selection algorithm (توسيع البحث)
derived optimization » driven optimization (توسيع البحث), required optimization (توسيع البحث), design optimization (توسيع البحث)
feature segmentation » feature representation (توسيع البحث), feature selection (توسيع البحث), image segmentation (توسيع البحث)
image feature » image features (توسيع البحث), scale feature (توسيع البحث), imaging features (توسيع البحث)
task derived » risks derived (توسيع البحث), ipsc derived (توسيع البحث), data derived (توسيع البحث)
binary task » binary mask (توسيع البحث)
segmentation algorithm » selection algorithm (توسيع البحث)
derived optimization » driven optimization (توسيع البحث), required optimization (توسيع البحث), design optimization (توسيع البحث)
feature segmentation » feature representation (توسيع البحث), feature selection (توسيع البحث), image segmentation (توسيع البحث)
image feature » image features (توسيع البحث), scale feature (توسيع البحث), imaging features (توسيع البحث)
task derived » risks derived (توسيع البحث), ipsc derived (توسيع البحث), data derived (توسيع البحث)
binary task » binary mask (توسيع البحث)
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Table_1_Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model.docx
منشور في 2024"…Instead of traditional convolution, Ghostconv is utilized by the neck network of the YOLO-CIT model. The fruit segment of citrus in the original citrus images processed by the R-LBP algorithm is combined with the background segment of the citrus images after grayscale processing to construct synthetic images, which are subsequently added to the training dataset. …"
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Algorithm framework of this paper.
منشور في 2024"…This paper proposes a network model based on the combination of U-net and DenseNet to solve the problems of class imbalance in multi-modal brain tumor image segmentation and the loss of effective information features caused by the integration of features in the traditional U-net network. …"
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PathOlOgics_RBCs Python Scripts.zip
منشور في 2023"…<p dir="ltr">The first algorithm for segmentation and localization (see PathOlOgics_script_1; segment & localize using a pen) relied on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing source images/patches. …"
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3D Microvascular Image Data and Labels for Machine Learning
منشور في 2024"…<p dir="ltr">These images and associated binary labels were collected from collaborators across multiple universities to serve as a diverse representation of biomedical images of vessel structures, for use in the training and validation of machine learning tools for vessel segmentation. …"
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Key steps in neurodegeneration detection algorithm.
منشور في 2023"…Using the structures obtained through binarizing these images, the algorithm detects which image contains the dendrites (Scale bar = 10 μm). …"
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<b>Multimodal MRI radiomics</b><b> based on </b><b>habitat subregions of the tumor microenvironment</b><b> for predicting risk stratification in glioblastoma</b>
منشور في 2025"…Following segmentation, quantitative imaging phenomic (QIP) features were derived from each tumor subregion with the Cancer Imaging Phenomics Toolkit (CaPTk) in accordance with the guidelines established by the Image Biomarker Standardisation Initiative (IBSI).…"
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