Deep learning model can predict cardiopulmonary disease in retinal images of premature infants

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Deep learning techniques can enhance diagnosis of Meniere disease

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...
IEEE

Multi-Class Skin Disease Detection Using Deep Learning Hybrid Method

Abstract: This paper aims to exploit deep learning techniques to make skin diagnostic processes more efficient, delivering higher accuracy and consistent predictions to assist dermatologists in making ...
IEEE

Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review

Abstract: Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart ...
Frontiers

Deep Learning for Medical Imaging Applications

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
Ars Technica

Researchers make “neuromorphic” artificial skin for robots

The nervous system does an astonishing job of tracking sensory information, and does so using signals that would drive many computer scientists insane: a noisy stream of activity spikes that may be ...
GitHub

Bone-Fracture-Line-Detection-System

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...
Frontiers

Skin disease diagnosis using decision and feature level fusion of deep features

Introduction: Early skin disease diagnosis is essential and one of the challenging tasks for a dermatologist. Manual diagnosis by healthcare providers is subjective, costly, and may yield inconsistent ...
Scientific Research Publishing

YOLO-AgriNet: A Deep Learning-Based Model for Real-Time Plant Disease Detection in Precision Agriculture ()

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...