Enhancing medical image analysis through deep learning: a comprehensive study on classification, segmentation, and multitask learning/
ix, 181 pages charts, ills Content notes : Foundations of Deep Learning in Medical Imaging: A Prelude -- A Deep Learning Framework Integrating the Spectral and Spatial Features for Image-assisted Medical Diagnostics -- An Improved Vision Transformer Model for Medical Image based Diagnostic Solution -- Multi-scale Morphology-aided Deep Medical Image Segmentation -- MA-DTNet: Multi-task Learning with Morphological Attention for Medical Image Analysis -- Conclusion Medical Image Classification Hybrid Architectures Vision Transformer (ViT) Convolutional Neural Networks (CNNs) Discrete Wavelet Transform
