Multi-modal Medical Neurological Image Fusion using Wavelet Pooled Edge Preserving Autoencoder

no code implementations • 18 Oct 2023 • Manisha Das, Deep Gupta, Petia Radeva, Ashwini M Bakde

In the proposed model, feature extraction is improved by using wavelet decomposition-based attention pooling of feature maps.

feature selection

A New Multimodal Medical Image Fusion based on Laplacian Autoencoder with Channel Attention

no code implementations • 18 Oct 2023 • Payal Wankhede, Manisha Das, Deep Gupta, Petia Radeva, Ashwini M Bakde

Medical image fusion combines the complementary information of multimodal medical images to assist medical professionals in the clinical diagnosis of patients' disorders and provide guidance during preoperative and intra-operative procedures.

STPGANsFusion: Structure and Texture Preserving Generative Adversarial Networks for Multi-modal Medical Image Fusion

no code implementations • National Conference on Communications (NCC) 2022 • Dhruvi Shah, Hareshwar Wani, Manisha Das, Deep Gupta, Petia Radeva, Ashwini Bakde

Next, the fusion of the structure and the texture components is carried out using two generative adversarial networks (GANs) consisting of a generator and two discriminators to get fused structure and texture components.