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Cerebral micro-bleeding identification based on a nine-layer convolutional neural network with stochastic pooling.

, , , , , and . Concurr. Comput. Pract. Exp., (2020)

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Multiple sclerosis identification by convolutional neural network with dropout and parametric ReLU., , , and . J. Comput. Sci., (2018)BraDect: A Novel Brain Tumor Image Classification Algorithm., , and . ICNCC, page 12-17. ACM, (2022)Image Retrieval Based on Improved Entropy and Moments.. IIH-MSP, page 347-350. IEEE Computer Society, (2006)Cerebral micro-bleeding identification based on a nine-layer convolutional neural network with stochastic pooling., , , , , and . Concurr. Comput. Pract. Exp., (2020)Lung-YOLO: Multiscale feature fusion attention and cross-layer aggregation for lung nodule detection., , , and . Biomed. Signal Process. Control., (2025)An Extended Center-Symmetric Local Ternary Patterns for Image Retrieval., and . CSEE (1), volume 214 of Communications in Computer and Information Science, page 359-364. Springer, (2011)MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images., , , , and . Knowl. Based Syst., (2021)Chain Code Distribution-Based Image Retrieval., and . IIH-MSP, page 139-142. IEEE Computer Society, (2006)CGUFS: A clustering-guided unsupervised feature selection algorithm for gene expression data., , , , , , and . J. King Saud Univ. Comput. Inf. Sci., 35 (9): 101731 (October 2023)Color image segmentation on region growing and multi-scale clustering., , , and . Color Imaging: Displaying, Processing, Hardcopy, and Applications, volume 7866 of SPIE Proceedings, page 78661N. SPIE, (2011)