CWC-MP-MC Image-based breast tumor classification using an optimized Vision Transformer (ViT)
SM Kabir, MIH Bhuiyan - Biomedical Signal Processing and Control, 2025 - Elsevier
This study introduces a novel approach to improve breast tumor classification by integrating
advanced image processing techniques and a state-of-the-art Vision Transformer (ViT) …
advanced image processing techniques and a state-of-the-art Vision Transformer (ViT) …
Enhanced Mitochondrial Segmentation with Customized Attention U-Net and Nakagami Fusion
Accurate and efficient segmentation of mitochondria from electron microscopy images is
crucial for a wide range of biological and medical applications. In this paper, we present a …
crucial for a wide range of biological and medical applications. In this paper, we present a …
Nakagami Weighted Parametric Image-Based Segmentation of Microscopy Images Using U-Net
This study presents an innovative approach for segmenting medical microscopy images,
integrating the Nakagami parametric distribution with the U-Net convolutional neural …
integrating the Nakagami parametric distribution with the U-Net convolutional neural …