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Machine Learning Based on Adaptive Mutation Squirrel Search Algorithm for Lung Cancer Imaging-Gene Multimodal Data Correlation a Nalysis and Subtype Diagnosis

https://doi.org/10.2139/ssrn.4772543
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A New Metaheuristic Bat-Inspired Algorithm
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Multi-branch cross attention model for prediction of KRAS mutation in rectal cancer with t2-weighted MRI
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Simple to complex cross-modal learning to rank
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Joint DBN and Fuzzy C-Means unsupervised deep clustering for lung cancer patient stratification
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Integrate domain knowledge in training multi-task cascade deep learning model for benign–malignant thyroid nodule classification on ultrasound images
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Feature subset selection based on fuzzy neighborhood rough sets
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Adaptive fuzzy c‐means algorithm based on local noise detecting for image segmentation
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Instance-Aware Image and Sentence Matching with Selective Multimodal LSTM
inferredcites →https://doi.org/10.1109/cvpr.2018.00097openalex-extracted
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
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Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval
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General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering
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Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering
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Feature genes selection based on fuzzy neighborhood conditional entropy
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CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning
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Comparison of 68 Ga-HBED-CC PSMA-PET/CT and multiparametric MRI for gross tumour volume detection in patients with primary prostate cancer based on slice by slice comparison with histopathology
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