Lightweight Dual-Branch AI Reads Brain Scans to Spot Alzheimer’s Stages
A lightweight dual-branch AI framework called NeuroCST classified Alzheimer's disease stages from MRI scans with 98.42 percent accuracy while using ...
Tag: deep learning in medical imaging
AI lung cancer screening shows promise but falls short of clinical autonomy
A systematic review and meta-analysis finds pooled sensitivity of 85.4 percent and specificity of 83.5 percent for deep learning-assisted low-dose ...
CT venous-phase radiomics models distinguish early from advanced gastric cancer before surgery
A retrospective study found that CT venous-phase radiomics models, led by logistic regression, distinguished early from advanced gastric cancer with ...
Evolutionary Feature Optimization Sharpens Latent Learning in Endoscopy Images
A new framework called EvoLatent-FS uses evolutionary feature optimization before variational encoding to learn more compact and discriminative latent representations ...
ResNet50-U-Net Deep Learning Model Segments Brain Tumor Subregions from Multimodal MRI
An integrated residual encoder-decoder framework achieved Dice scores of 0.9100 for whole tumor and 0.8151 for enhancing tumor segmentation on ...
Research report: Comparative analysis of GAN-based augmentation pipelines for Parkinson’s hypokinetic dysarthria severity detection using deep learning
A comparative study found that GAN-based augmentation of speech or cepstrogram images improved Parkinson's dysarthria severity classification, with relative performance ...
Lightweight AI network reads chest X-rays to tell bacterial from viral pneumonia
A new lightweight three-branch neural network called FLIFuse classifies bacterial pneumonia, viral pneumonia, and normal chest X-rays with 91.4 percent ...
Adversarial domain adaptation for false-positive reduction in hospital-to-robotic echocardiographic screening under limited target-domain data
Adversarial domain adaptation raised normal-case specificity on robotic echocardiograms from 65.7% to 89.3% without using robotic pathological cases, but validation ...
AI Reads CT Scans to Predict Bladder Cancer Recurrence Before It Happens
Researchers in China have built an explainable deep learning model that analyzes contrast-enhanced CT scans to predict whether non-muscle-invasive bladder ...
AI Reads Breast MRI With Striking Accuracy, But a New Meta-Analysis Urges Caution
A new meta-analysis of 18 studies finds that deep learning applied to dynamic contrast-enhanced breast MRI achieves 90 percent sensitivity ...
-
Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
-
University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
-
Bee body mass, pathogens and local climate influence heat tolerance
-
Researchers record first-ever images and data of a shark experiencing a boat strike
-
Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!