Machine-learning tool gives doctors a more detailed 3D picture of fetal health

For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...
IEEE

PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence

Abstract: We introduce a physics-informed machine learning (PIML) algorithm based on a feed-forward neural network (FFNN) to estimate surface soil moisture from limited in situ measurements and ...
IEEE

Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization

Abstract: This study evaluates metrics for tasks such as classification, regression, clustering, correlation analysis, statistical tests, segmentation, and image-to-image (I2I) translation in medical ...
GitHub

Brain Tumor MRI Classification

This project implements advanced machine learning approaches for brain tumor classification using MRI images from the PMRAM Bangladeshi Brain Cancer MRI Dataset. The project includes two comprehensive ...
GitHub

NestedMorph: Deformable Medical Image Registration

This repository implements the NestedMorph model, presented in the paper "Kumar, Gurucharan Marthi Krishna, Mendola, Janine, Shmuel, Amir. "NestedMorph: Enhancing Deformable Medical Image Registration ...