Hybrid Radiomics and Machine Learning for Brain Tumors Multi-Task Classification: An Exploratory Study on Integrating GLCM and Curvelet-Based Features for Enhanced Accuracy. [PDF]
Jafari M +6 more
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Computer-based quantitative image texture analysis using multi-collinearity diagnosis in chest X-ray images. [PDF]
Quintero-Rincón A +3 more
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Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer's disease classification. [PDF]
Vaithianathan K +5 more
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CSANet: a lightweight channel and spatial attention neural network for grading diabetic retinopathy with optical coherence tomography angiography. [PDF]
Ma F +5 more
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Uses of artificial intelligence in glioma: A systematic review. [PDF]
Al-Rahbi A, Al-Mahrouqi O, Al-Saadi T.
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CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities. [PDF]
Akash RS +3 more
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A Review of EEG-based Localization of Epileptic Seizure Foci: Common Points with Multimodal Fusion of Brain Data. [PDF]
Tajmirriahi M, Rabbani H.
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Automatic exudate and aneurysm segmentation in OCT images using UNET++ and hyperreflective-foci feature based bagged tree ensemble. [PDF]
Tanthanathewin R +3 more
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Diabetic retinopathy detection and grading system using deep learning approach. [PDF]
Raja DSS +3 more
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Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification. [PDF]
Bhat S, Szczuko P.
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