AIMC Topic: Algorithms

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Deep one-class probability learning for end-to-end image classification.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2025
One-class learning has many application potentials in novelty, anomaly, and outlier detection systems. It aims to distinguish both positive and negative samples with a model trained via only positive samples or one-class annotated samples. With the d...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Probability Deep Learning Humans Probability Learning
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CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2025
Effective uncertainty estimation is becoming increasingly attractive for enhancing the reliability of neural networks. This work presents a novel approach, termed Credal-Set Interval Neural Networks (CreINNs), for classification. CreINNs retain the f...
Uncertainty Probability Algorithms Humans Neural Networks, Computer Bayes Theorem
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Federated learning with bilateral defense via blockchain.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2025
Federated Learning (FL) offers benefits in protecting client data privacy but also faces multiple security challenges, such as privacy breaches from unencrypted data transmission and poisoning attacks that compromise model performance, however, most ...
Machine Learning Algorithms Blockchain Federated Learning Computer Security Humans
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MAI-TargetFisher: A proteome-wide drug target prediction method synergetically enhanced by artificial intelligence and physical modeling.

Acta pharmacologica Sinica Jan 27, 2025
Computational target identification plays a pivotal role in the drug development process. With the significant advancements of deep learning methods for protein structure prediction, the structural coverage of human proteome has increased substantial...
Humans Databases, Protein Drug Discovery Artificial Intelligence Proteome Binding Sites Algorithms Proteins
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Entity-level multiple instance learning for mesoscopic histopathology images classification with Bayesian collaborative learning and pathological prior transfer.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 27, 2025
BACKGROUND: Entity-level pathologic structures with independent structures and functions are at a mesoscopic scale between the cell-level and slide-level, containing limited structures thus providing fewer instances for multiple instance learning. Th...
Multiple-Instance Learning Algorithms Algorithms Bayes Theorem Humans Image Interpretation, Computer-Assisted Machine Learning
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Non-experimental rapid identification of lower respiratory tract infections in patients with chronic obstructive pulmonary disease using multi-label learning.

Computer methods and programs in biomedicine Jan 27, 2025
BACKGROUND AND OBJECTIVE: Microbiological culture is a standard diagnostic test that takes a long time to identify lower respiratory tract infections (LRTI) in patients with chronic obstructive pulmonary disease (COPD). This study entailed the develo...
Male Aged Middle Aged Respiratory Tract Infections Humans Machine Learning Algorithms Decision Support Systems, Clinical Pulmonary Disease, Chronic Obstructive Female
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SeLa-MIL: Developing an instance-level classifier via weakly-supervised self-training for whole slide image classification.

Computer methods and programs in biomedicine Jan 27, 2025
BACKGROUND AND OBJECTIVE: Pathology image classification is crucial in clinical cancer diagnosis and computer-aided diagnosis. Whole Slide Image (WSI) classification is often framed as a multiple instance learning (MIL) problem due to the high cost o...
Supervised Machine Learning Image Interpretation, Computer-Assisted Machine Learning Diagnosis, Computer-Assisted Humans Algorithms Image Processing, Computer-Assisted Neoplasms
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Semi-supervised Strong-Teacher Consistency Learning for few-shot cardiac MRI image segmentation.

Computer methods and programs in biomedicine Jan 27, 2025
BACKGROUND AND OBJECTIVE: Cardiovascular disease is a leading cause of mortality worldwide. Automated analysis of heart structures in MRI is crucial for effective diagnostics. While supervised learning has advanced the field of medical image segmenta...
Heart Supervised Machine Learning Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Machine Learning Algorithms Cardiovascular Diseases
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A deep learning pipeline for three-dimensional brain-wide mapping of local neuronal ensembles in teravoxel light-sheet microscopy.

Nature methods Jan 27, 2025
Teravoxel-scale, cellular-resolution images of cleared rodent brains acquired with light-sheet fluorescence microscopy have transformed the way we study the brain. Realizing the potential of this technology requires computational pipelines that gener...
Animals Deep Learning Imaging, Three-Dimensional Algorithms Brain Microscopy, Fluorescence Neurons Mice Brain Mapping Image Processing, Computer-Assisted
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Significance of gender, brain region and EEG band complexity analysis for Parkinson's disease classification using recurrence plots and machine learning algorithms.

Physical and engineering sciences in medicine Jan 27, 2025
Parkinson Disease (PD) is a complex neurological disorder attributed by loss of neurons generating dopamine in the SN per compacta. Electroencephalogram (EEG) plays an important role in diagnosing PD as it offers a non-invasive continuous assessment ...
Aged Male Middle Aged Brain Female Sex Characteristics Sex Factors Entropy Electroencephalography Signal Processing, Computer-Assisted Machine Learning Parkinson Disease Algorithms Humans
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