IEEE

MSCD-VM-UNet: A Vision Mamba Combining Multi-Scale Global and Local Feature Extraction With Cross-Domain Feature Fusion for Medical Image Segmentation

Abstract: Accurate segmentation of tissues and lesions is essential for diagnosis and treatment. State Space Models (SSMs) have gained attention for their linear complexity and ability to model ...
GitHub

Time-Series Image Classifier

A production-ready deep learning project for time-series image classification using EfficientNet/NFNet with PyTorch Lightning. This project implements transfer learning for multi-class classification ...
Military Times

US Navy to develop new class of smaller, more ‘agile’ combatant ships

Crew members examine a propeller of a U.S. Coast Guard Legend-class National Security Cutter, a design that is informing the U.S. Navy's future Frigate class. (PO1 Ayla Kelley/Navy) The U.S. Navy is ...
IEEE

MBE-UNet: Multi-branch Boundary Enhanced U-Net for Ultrasound Segmentation

Abstract: Accurately capturing object areas in medical images is crucial for the clinical diagnosis and treatment of diseases. Due to the inherent low contrast and blurry edges in ultrasound images, ...
Frontiers

Paddy Pest Image Segmentation based on Multiscale attention Fusion VM-UNet

The final, formatted version of the article will be published soon. Precise paddy pest image segmentation (PPIS) in the real-time natural environments is an important and challenging research.
GitHub

Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation

Few-shot Adaptation of Training-frEe SAM (FATE-SAM) is a versatile framework for 3D medical image segmentation that adapts the pretrained SAM2 model without fine-tuning. By leveraging a support ...