Mamba-UNet: All the baseline methods/datasets are with same hyper-parameter setting (10,000 iterations, learning rate, optimizer and etc). VMambaMorph: All the baseline methods are with same ...

Brain Tumor Segmentation using UNet A deep learning application for automatic segmentation of brain tumors from MRI scans using a UNet neural network architecture. This web-based tool allows users to ...

In this paper, we propose a multi-scale weighted connected UNet to address these challenges by combining the channel attention feature fusion module and the UNet structure model.

Abstract: Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. Existing methods face ...