AIMC Topic: Algorithms

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Integrating SAM priors with U-Net for enhanced multiclass cell detection in digital pathology.

Scientific reports May 5, 2025
In digital pathology, the accurate detection, segmentation, and classification of cells are pivotal for precise pathological diagnosis. Traditionally, pathologists manually segment cells from pathological images to facilitate diagnosis based on these...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Algorithms
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Advanced holographic convolutional dense networks and Tangent runner optimization for enhanced polycystic ovarian disease classification.

Scientific reports May 5, 2025
Polycystic Ovarian Disease (PCOD) is among the most prevalent endocrine disorders complicating the health of innumerable women worldwide due to lack of diagnosis and appropriate management. The diagnosis of PCOD, along with proper classification with...
Ultrasonography Image Processing, Computer-Assisted Polycystic Ovary Syndrome Holography Female Deep Learning Humans Algorithms
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An efficient patient's response predicting system using multi-scale dilated ensemble network framework with optimization strategy.

Scientific reports May 5, 2025
The forecasting of a patient's response to radiotherapy and the likelihood of experiencing harmful long-term health impacts would considerably enhance individual treatment plans. Due to the continuous exposure to radiation, cardiovascular disease and...
Algorithms Prognosis Humans Neural Networks, Computer Neoplasms Deep Learning
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An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification.

Scientific reports May 5, 2025
Skin lesions remain a significant global health issue, with their incidence rising steadily over the past few years. Early and accurate detection is crucial for effective treatment and improving patient outcomes. This work explores the integration of...
Humans Neural Networks, Computer Algorithms Skin Diseases
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GelGenie: an AI-powered framework for gel electrophoresis image analysis.

Nature communications May 5, 2025
Gel electrophoresis is a ubiquitous laboratory method for the separation and semi-quantitative analysis of biomolecules. However, gel image analysis principles have barely advanced for decades, in stark contrast to other fields where AI has revolutio...
Algorithms Artificial Intelligence Humans Electrophoresis, Polyacrylamide Gel Image Processing, Computer-Assisted Software
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Enhancing Cardiopulmonary Resuscitation Quality Using a Smartwatch: Neural Network Approach for Algorithm Development and Validation.

JMIR mHealth and uHealth May 5, 2025
BACKGROUND: Sudden cardiac arrest is a major cause of mortality, necessitating immediate and high-quality cardiopulmonary resuscitation (CPR) for improved survival rates. High-quality CPR is defined by chest compressions at a rate of 100-120 per minu...
Female Humans Adult Accelerometry Male Neural Networks, Computer Cardiopulmonary Resuscitation Wearable Electronic Devices Manikins Algorithms
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Replacing non-biomedical concepts improves embedding of biomedical concepts.

PloS one May 5, 2025
Embeddings are semantically meaningful representations of words in a vector space, commonly used to enhance downstream machine learning applications. Traditional biomedical embedding techniques often replace all synonymous words representing biologic...
Semantics Machine Learning Medical Informatics Computing Algorithms
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Semisupervised adaptive learning models for IDH1 mutation status prediction.

PloS one May 5, 2025
The mutation status of isocitrate dehydrogenase1 (IDH1) in glioma is critical information for the diagnosis, treatment, and prognosis. Accurately determining such information from MRI data has emerged as a significant research challenge in recent yea...
Mutation Isocitrate Dehydrogenase Glioma Magnetic Resonance Imaging Brain Neoplasms Humans Deep Learning Algorithms
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Improving fine-grained food classification using deep residual learning and selective state space models.

PloS one May 5, 2025
BACKGROUND: Food classification is the foundation for developing food vision tasks and plays a key role in the burgeoning field of computational nutrition. Due to the complexity of food requiring fine-grained classification, the Convolutional Neural ...
Databases, Factual Neural Networks, Computer Deep Learning Algorithms Food
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Classification of Neuropsychiatric Disorders via Brain-Region-Selected Graph Convolutional Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 5, 2025
For the classification of patients with neuropsychiatric disorders based on rs-fMRI data, this paper proposed a Brain-Region-Selected graph convolutional network (BRS-GCN). In order to effectively identify the most significant biomarkers associated w...
Databases, Factual Biomarkers Brain Female Algorithms Magnetic Resonance Imaging Aged Humans Mental Disorders Alzheimer Disease Male Neural Networks, Computer
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