BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
ON Manzari, JM Kaleybar, H Saadat… - arXiv preprint arXiv …, 2024 - arxiv.org
… a novel medical image segmentation structure called BEFUnet, which extracts both body
and edge features and effectively integrates them to enhance segmentation performance. To …
and edge features and effectively integrates them to enhance segmentation performance. To …
BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation
O Nejati Manzari, J Mirzapour Kaleybar… - arXiv e …, 2024 - ui.adsabs.harvard.edu
… U-shaped network called BEFUnet, which enhances the fusion of body and edge information
for precise medical image segmentation. The BEFUnet comprises three main modules, …
for precise medical image segmentation. The BEFUnet comprises three main modules, …
Improved EATFormer: A Vision Transformer for Medical Image Classification
Y Shisu, S Mingwin, Y Wanwag, Z Chenso… - arXiv preprint arXiv …, 2024 - arxiv.org
… data, leading to more accurate predictions of the images. Moreover, the sequential processing
of data in visual transformers … Maleki, “Befunet: A hybrid cnn-transformer architecture for …
of data in visual transformers … Maleki, “Befunet: A hybrid cnn-transformer architecture for …