eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
GitHub

xuebinqin/U-2-Net

** (2022-Aug.-24) ** We are glad to announce that our U 2-Net published in Pattern Recognition has been awarded the 2020 Pattern Recognition BEST PAPER AWARD !!! ** (2022-Jul.-5)** Our new work ...
IEEE

Brain Tumour Segmentation Using S-Net and SA-Net

Abstract: Image segmentation is an application area of computer vision and digital image processing that partitions a digital image into multiple image regions or segments. This process involves ...
GitHub

A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection

Training on video (w/o flow) . We load the weight pre-trained on the static image dataset, and use DAVIS and FBMS to train our framework. python finetune.py --model ...
IEEE

Frequency-Enhanced Lightweight Vision Mamba Network for Medical Image Segmentation

Abstract: Automatic segmentation of medical images is a crucial step for lesion measurement in computer-aided diagnosis. Convolutional neural networks (CNNs) and vision transformers (ViTs) are widely ...