IEEE

Federated Learning Model Using CBDPL for Medical Image Segmentation

Abstract: Federated learning (FL) allows hospitals and medical centers to train models without sharing patient data. Instead of sending data to a central server, each institution trains the model ...
IEEE

SE-DeepLabV3+: Cervical Cell Segmentation and Classification Using a Novel SE-Based DeepLabV3+ and Ensemble Method

Abstract: Cervical cancer remains a major cause of morbidity and mortality worldwide, highlighting the need for early detection and effective treatment strategies. This study develops a robust deep ...
Frontiers

Multi-class segmentation of knee MRI based on hybrid attention

Introduction: Accurate segmentation of knee MRI images is crucial for the diagnosis and treatment of degenerative knee disease and sports injuries. However, many existing methods are hindered by class ...
GitHub

RiDBNet: Rotation-invariant dual-branch hierarchical network for 3D point cloud classification and segmentation

This repo provides the RiDBNet source codes, which had been tested with Python 3.8.19, PyTorch 1.12.0, CUDA 11.3 on Ubuntu 20.04. # install cpp extensions, the pointnet++ library cd ./pointnet2_batch ...