AI Medical Compendium Journal:
Nan fang yi ke da xue xue bao = Journal of Southern Medical University

Showing 1 to 10 of 37 articles

[AConvLSTM U-Net: a multi-scale jaw cyst segmentation model based on bidirectional dense connection and attention mechanism].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University May 20, 2025
OBJECTIVES: We propose a multi-scale jaw cyst segmentation model, AConvLSTM U-Net, which is based on bidirectional dense connections and attention mechanisms to achieve accurate automatic segmentation of mandibular cyst images.
Algorithms Image Processing, Computer-Assisted Jaw Cysts Humans Neural Networks, Computer
View on PubMed DOI

[Construction of recognition models for subthreshold depression based on multiple machine learning algorithms and vocal emotional characteristics].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Apr 20, 2025
OBJECTIVES: To construct vocal recognition classification models using 6 machine learning algorithms and vocal emotional characteristics of individuals with subthreshold depression to facilitate early identification of subthreshold depression.
Depression Machine Learning Support Vector Machine Algorithms Emotions Humans Female Male Voice
View on PubMed DOI

[A lightweight classification network for single-lead atrial fibrillation based on depthwise separable convolution and attention mechanism].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Mar 20, 2025
OBJECTIVES: To design a deep learning model that balances model complexity and performance to enable its integration into wearable ECG monitoring devices for automated diagnosis of atrial fibrillation.
Electrocardiography Atrial Fibrillation Algorithms Deep Learning Wearable Electronic Devices Humans Neural Networks, Computer
View on PubMed DOI

A fusion model of manually extracted visual features and deep learning features for rebleeding risk stratification in peptic ulcers.

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 20, 2025
OBJECTIVES: We propose a multi-feature fusion model based on manually extracted features and deep learning features from endoscopic images for grading rebleeding risk of peptic ulcers.
Peptic Ulcer Recurrence Peptic Ulcer Hemorrhage Risk Assessment Deep Learning Humans
View on PubMed DOI

A multi-constraint representation learning model for identification of ovarian cancer with missing laboratory indicators.

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jan 20, 2025
OBJECTIVES: To evaluate the performance of a multi-constraint representation learning classification model for identifying ovarian cancer with missing laboratory indicators.
Female ROC Curve Ovarian Neoplasms Humans Machine Learning
View on PubMed DOI

[Identification of osteoid and chondroid matrix mineralization in primary bone tumors using a deep learning fusion model based on CT and clinical features: a multi-center retrospective study].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Dec 20, 2024
METHODS: We retrospectively collected CT scan data from 276 patients with pathologically confirmed primary bone tumors from 4 medical centers in Guangdong Province between January, 2010 and August, 2021. A convolutional neural network (CNN) was emplo...
Humans Retrospective Studies Tomography, X-Ray Computed Neural Networks, Computer Female Algorithms Bone Neoplasms ROC Curve Male Deep Learning
View on PubMed DOI

[An autoencoder model based on one-dimensional neural network for epileptic EEG anomaly detection].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Sep 20, 2024
OBJECTIVE: We propose an autoencoder model based on a one-dimensional convolutional neural network (1DCNN) as the feature extraction network for efficient detection of epileptic EEG anomalies.
Electroencephalography Epilepsy Signal Processing, Computer-Assisted Seizures Neural Networks, Computer Algorithms ROC Curve Humans
View on PubMed DOI

[A deep learning model based on magnetic resonance imaging and clinical feature fusion for predicting preoperative cytokeratin 19 status in hepatocellular carcinoma].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Sep 20, 2024
OBJECTIVE: To establish a deep learning model for testing the feasibility of combining magnetic resonance imaging (MRI) deep learning features with clinical features for preoperative prediction of cytokeratin 19 (CK19) status of hepatocellular carcin...
Humans Liver Neoplasms Carcinoma, Hepatocellular Keratin-19 Magnetic Resonance Imaging Male Retrospective Studies Middle Aged Female Deep Learning
View on PubMed DOI

[A deep blur learning-based motion artifact reduction algorithm for dental cone-beam computed tomography images].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jun 20, 2024
OBJECTIVE: We propose a motion artifact correction algorithm (DMBL) for reducing motion artifacts in reconstructed dental cone-beam computed tomography (CBCT) images based on deep blur learning.
Motion Artifacts Deep Learning Humans Cone-Beam Computed Tomography Algorithms Image Processing, Computer-Assisted
View on PubMed DOI

[Prediction of risk of in-hospital death in patients with chronic heart failure complicated by lung infections using interpretable machine learning].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jun 20, 2024
OBJECTIVE: To predict the risk of in-hospital death in patients with chronic heart failure (CHF) complicated by lung infections using interpretable machine learning.
Aged Male Middle Aged Female Risk Factors Pneumonia Heart Failure Kaplan-Meier Estimate Hospital Mortality Chronic Disease Machine Learning Algorithms Humans Pneumonia, Bacterial
View on PubMed DOI
Popular Topics
Popular Journals