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 ...
GitHub

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets

Visual example of our conformal margin: we build a morphological margin (via dilation) that covers all missed pixels (false negatives). Dataset: WBC In the following image, we have a ground truth mask ...
GitHub

Medical Image Segmentation Pipeline

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...
Microsoft

Image Segmentation Using Hardware Forest Classifiers

Image segmentation is the process of partitioning an image into segments or subsets of pixels for purposes of further analysis, such as separating the interesting objects in the foreground from the un ...
IEEE

Medical Image Segmentation for Anomaly Detection Using Deep Learning Techniques

Abstract: Medical images are the standard approach for the analysis and diagnosis of critical issues of diseases. To minimize the time-consuming inspection and evaluation process of the medical images ...
Frontiers

Paddy pest image segmentation based on multiscale attention fusion VM-UNet

1 Henan Agricultural Information Data Intelligent Engineering Research Center, SIAS University, Zhengzhou, China 2 College of Computer, Xijing University, Xi’an, China Precise paddy pest image ...
9to5Mac

iOS 26.2 added new AirDrop upgrade, here’s how it works

AirDrop has long been a highly popular iPhone feature, offering an easy way to share photos, files, and more with friends and family. But in iOS 26.2, there’s a new AirDrop enhancement available: ...