Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...
IEEE

MCBL-UNet: A Hybrid Mamba-CNN Boundary Enhanced Light-weight UNet for Placenta Ultrasound Image Segmentation

Abstract: The shape and size of the placenta are closely related to fetal development in the second and third trimesters of pregnancy. Accurately segmenting the placental contour in ultrasound images ...
IEEE

Deep Learning for Glioblastoma MRI Segmentation and Classification: A Structured Review of CNN-Based and Hybrid Architectures

Abstract: Glioblastoma is the most aggressive primary brain tumor in adults and remains challenging to assess accurately because of its marked heterogeneity, infiltrative growth, and variable ...
GitHub

ISBNet Building Instance Segmentation for Aerial Urban Point Clouds

This repository contains a lightweight, reproducible project for building-only instance segmentation on aerial urban point clouds. It was organized from a Sun Yat-sen University Computer Vision and ...