AIMC Topic: Algorithms
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Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning.
Scientific reports
Jul 17, 2025
In this paper, we develop a combination of algorithms, including camera motion detector (CMD), deep learning models, class activation mapping (CAM), and periodical feature detector for the purpose of evaluating human gastric motility by detecting the...
Deep Learning-Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization.
Journal of medical Internet research
Jul 17, 2025
BACKGROUND: Traditional ocular gaze photograph preprocessing, relying on manual cropping and head tilt correction, is time-consuming and inconsistent, limiting artificial intelligence (AI) model development and clinical application.
FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms.
Journal of cancer research and clinical oncology
Jul 17, 2025
Precise liver segmentation is critical for accurate diagnosis and effective treatment planning, serving as a foundation for medical image analysis. However, existing methods struggle with limited labeled data, poor generalizability, and insufficient ...
Statistical toolkit for analysis of radiotherapy DICOM data.
Biomedical physics & engineering express
Jul 17, 2025
Radiotherapy (RT) has become increasingly sophisticated, necessitating advanced tools for analyzing extensive treatment data in hospital databases. Such analyses can enhance future treatments, particularly through Knowledge-Based Planning, and aid in...
Frequency domain manipulation of multiple copy-move forgery in digital image forensics.
PloS one
Jul 17, 2025
Copy move forgery is a type of image forgery in which a portion of the original image is copied and pasted in a new location on the same image. The consistent illumination and noise pattern make this kind of forgery more difficult to detect. In copy-...
Use of hybrid quantum-classical algorithms for enhancing biomarker classification.
PloS one
Jul 17, 2025
Quantum machine learning (QML) combines quantum computing with machine learning, offering potential for solving intricate problems. Our research delves into QML's application in identifying gene expression biomarkers for clear cell renal cell carcino...
Discriminative graph regularized representation learning for recognition.
PloS one
Jul 17, 2025
Feature extraction has been extensively studied in the machine learning field as it plays a critical role in the success of various practical applications. To uncover compact low-dimensional feature representations with strong generalization and disc...
SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jul 16, 2025
Carotid ultrasound image segmentation and classification are crucial in assessing the severity of carotid plaques which serve as a major cause of ischemic stroke. Although many methods are employed for carotid plaque segmentation and classification, ...
Beyond traditional models: Jaya-optimized ensembles for accurate heart disease prediction.
Computers in biology and medicine
Jul 16, 2025
INTRODUCTION: Heart Disease (HD) stands as the foremost reason for mortality all over the world for both men and women. Millions of people are affected worldwide every year, resulting in numerous fatalities. Timely and precise detection is essential ...
A novel machine learning architecture to improve classification of intermediate cases in health: workflow and case study for public health.
BMC bioinformatics
Jul 16, 2025
BACKGROUND: The practice of medicine has evolved significantly during the past decade, with the emergence of Machine Learning (ML) that offers the opportunity of personalized patient-tailored care. However, ML models still face some challenges when c...
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