[{"title": "Convolutional Neural Network in Medical Image Analysis: A Review - Springer", "href": "https://link.springer.com/article/10.1007/s11831-023-09898-w", "body": "The application of CNNs in medical image analysis, such as its use for brain magnetic resonance imaging (MRI) analysis, pre-processing, segmentation, data preparation, and post-processing were the main areas of focus. We further explored large-scale retrieval, which can increase MRI image processing efficiency."}, {"title": "CNN or RNN: Review and Experimental Comparison on Image Classification ...", "href": "https://ieeexplore.ieee.org/abstract/document/10065984", "body": "The experimental results of training and testing on those two datasets shows that CNN model is better than RNN model in image classification. Published in: 2022 IEEE 8th International Conference on Computer and Communications (ICCC) Article #: Date of Conference: 09-12 December 2022 Date Added to IEEE Xplore: 20 March 2023 ISBN Information:"}, {"title": "CNN vs. RNN: How are they different? | TechTarget", "href": "https://www.techtarget.com/searchenterpriseai/feature/CNN-vs-RNN-How-they-differ-and-where-they-overlap", "body": "The main differences between CNNs and RNNs include the following: CNNs are commonly used to solve problems involving spatial data, such as images. RNNs are better suited to analyzing temporal and sequential data, such as text or videos. CNNs and RNNs have different architectures."}]