AIMC Topic: Mental Recall

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Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier.

Scientific reports Aug 19, 2023
Fine needle aspiration (FNA) biopsy of thyroid nodules is a safe, cost-effective, and accurate diagnostic method for detecting thyroid cancer. However, about 10% of initial FNA biopsy samples from patients are non-diagnostic and require repeated FNA,...
Mental Recall Glass Humans Deep Learning Thyroid Gland Biopsy, Fine-Needle
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Aphid cluster recognition and detection in the wild using deep learning models.

Scientific reports Aug 17, 2023
Aphid infestation poses a significant threat to crop production, rural communities, and global food security. While chemical pest control is crucial for maximizing yields, applying chemicals across entire fields is both environmentally unsustainable ...
Animals Deep Learning Recognition, Psychology Aphids Edible Grain Mental Recall
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Detection of Abnormal Changes on the Dorsal Tongue Surface Using Deep Learning.

Medicina (Kaunas, Lithuania) Jul 13, 2023
: The tongue mucosa often changes due to various local and systemic diseases or conditions. This study aimed to investigate whether deep learning can help detect abnormal regions on the dorsal tongue surface in patients and healthy adults. : The stud...
Algorithms Adult Humans Mental Recall Deep Learning Mouth Mucosa
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Multi-modal medical image classification using deep residual network and genetic algorithm.

PloS one Jun 29, 2023
Artificial intelligence (AI) development across the health sector has recently been the most crucial. Early medical information, identification, diagnosis, classification, then analysis, along with viable remedies, are always beneficial developments....
Artificial Intelligence Mental Recall Algorithms Health Facilities Machine Learning
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Coherent noise enables probabilistic sequence replay in spiking neuronal networks.

PLoS computational biology May 2, 2023
Animals rely on different decision strategies when faced with ambiguous or uncertain cues. Depending on the context, decisions may be biased towards events that were most frequently experienced in the past, or be more explorative. A particular type o...
Neurons Memory Action Potentials Mental Recall Learning Animals Neural Networks, Computer Neuronal Plasticity Models, Neurological
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Brain Tumor Classification Using Deep Neural Network and Transfer Learning.

Brain topography Apr 15, 2023
In the field of medical imaging, the classification of brain tumors based on histopathological analysis is a laborious and traditional approach. To address this issue, the use of deep learning techniques, specifically Convolutional Neural Networks (C...
Mental Recall Magnetic Resonance Imaging Humans Neural Networks, Computer Machine Learning Brain Neoplasms
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Online continual learning with declarative memory.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2023
Deep neural networks are enjoying unprecedented attention and success in recent years. However, catastrophic forgetting undermines the performance of deep models when the training data are arrived sequentially in an online multi-task learning fashion...
Humans Neural Networks, Computer Machine Learning Cognition Learning Mental Recall
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Associative memory of structured knowledge.

Scientific reports Dec 17, 2022
A long standing challenge in biological and artificial intelligence is to understand how new knowledge can be constructed from known building blocks in a way that is amenable for computation by neuronal circuits. Here we focus on the task of storage ...
Neural Networks, Computer Artificial Intelligence Mental Recall Neurons Memory
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Audit lead selection and yield prediction from historical tax data using artificial neural networks.

PloS one Nov 30, 2022
Tax audits are a crucial process adopted in all tax departments to ensure tax compliance and fairness. Traditionally, tax audit leads have been selected based on empirical rules and randomization methods, which are not adaptive, may miss major cases ...
Restaurants Neural Networks, Computer Commerce Mental Recall
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Hybrid-Enhanced Siamese Similarity Models in Ligand-Based Virtual Screen.

Biomolecules Nov 20, 2022
Information technology has become an integral aspect of the drug development process. The virtual screening process (VS) is a computational technique for screening chemical compounds in a reasonable amount of time and cost. The similarity search is o...
Neural Networks, Computer Mental Recall Databases, Factual Ligands
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