Complex Convolutional

Complex convolutional neural networks (CNNs) are a focus of ongoing research, aiming to improve the performance and robustness of image and volumetric data analysis. Current efforts explore alternative architectures, such as incorporating Fourier transforms to leverage frequency information and combining CNNs with other approaches like vision transformers, to address challenges like uneven brightness and inter-class similarity in image classification tasks. These advancements are impacting diverse fields, from medical image analysis (e.g., Alzheimer's and colon disease diagnosis) to autonomous navigation in UAVs, by enabling more accurate and reliable automated systems.