Minkang Zhang Improves Medical Image Recognition Through RNN Optimization and Deep Learning Integration

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
IEEE

Soil Classification Using Deep Learning Techniques

Abstract: The objective of this project is to classify the four types of soil images using deep learning models that is the Convolutional Neural Networks (CNN) and the Artificial Neural Networks (ANN) ...
GitHub

BijayaKumarTiadi/Captcha-Solver-CNN-Keras-Tensorflow

Python 3.8 or higher pip package manager 4GB+ RAM recommended ...
The Lancet

Machine learning to classify the focus score and Sjögren's disease using digitalised salivary gland biopsies: a retrospective cohort study

bCentre for Translational Bioinformatics, William Harvey Research Institute, London, UK cExperimental Medicine and Rheumatology, William Harvey Research Institute, London, UK dSchool of Infection, ...
Microsoft

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic liver disease worldwide, affecting over 30% of the global general population. Its progressive ...
Microsoft

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality

preventable cause in children, impacting development. Artificial intelligence (AI) offers promise for early diagnosis via otoscopic image analysis, but dataset biases and inconsistencies limit model ...
Frontiers

Deep learning-assisted diagnosis of liver tumors using non-contrast magnetic resonance imaging: a multicenter study

Objectives: Non-contrast MRI(NC-MRI) is an attractive option for liver tumors screening and follow-up. This study aims to develop and validate a deep convolutional neural network for the ...
Frontiers

Detecting early gastrointestinal polyps in histology and endoscopy images using deep learning

1 National Engineering School of Sfax (ENIS), University of Sfax, Sfax, Tunisia 2 Multimedia, Information Systems and Advanced Computing Laboratory (MIRACL), University of Sfax, Sfax, Tunisia ...