AIMC Topic: Convolutional Neural Networks

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CasPro-ESM2: Accurate identification of Cas proteins integrating pre-trained protein language model and multi-scale convolutional neural network.

International journal of biological macromolecules Mar 22, 2025
Cas proteins (CRISPR-associated protein) are the core components of the CRISPR-Cas system, playing critical roles in defending against foreign DNA and RNA invasions. Identifying Cas proteins can provide deeper insights into the immune mechanisms of t...
Computational Biology Neural Networks, Computer CRISPR-Cas Systems Software Convolutional Neural Networks CRISPR-Associated Proteins
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Capsule DenseNet++: Enhanced autism detection framework with deep learning and reinforcement learning-based lifestyle recommendation.

Computers in biology and medicine Mar 21, 2025
Autism Spectrum Disorder (ASD) is a complex neurological condition that impairs the ability to interact, communicate, and behave. It is becoming increasingly prevalent worldwide, with an increase in the number of young children diagnosed with ASD in ...
Child Autistic Disorder Life Style Convolutional Neural Networks Saudi Arabia Child, Preschool Reinforcement, Psychology Humans Female Male Algorithms Deep Learning Autism Spectrum Disorder
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PET and CT based DenseNet outperforms advanced deep learning models for outcome prediction of oropharyngeal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 19, 2025
BACKGROUND: In the HECKTOR 2022 challenge set [1], several state-of-the-art (SOTA, achieving best performance) deep learning models were introduced for predicting recurrence-free period (RFP) in head and neck cancer patients using PET and CT images.
Middle Aged Female Deep Learning Aged Convolutional Neural Networks Positron Emission Tomography Computed Tomography Male Humans Datasets as Topic Tomography, X-Ray Computed Oropharyngeal Neoplasms
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Artificial Intelligence and Convolutional Neural Networks-Driven Detection of Micro and Macro Metastasis of Cutaneous Melanoma to the Lymph Nodes.

The American Journal of dermatopathology Mar 19, 2025
BACKGROUND: Lymph node (LN) assessment is a critical component in the staging and management of cutaneous melanoma. Traditional histopathological evaluation, supported by immunohistochemical staining, is the gold standard for detecting LN metastases....
Melanoma, Cutaneous Malignant Image Interpretation, Computer-Assisted Convolutional Neural Networks Lymph Nodes Lymphatic Metastasis Artificial Intelligence Melanoma Skin Neoplasms Humans Neural Networks, Computer
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A semi-supervised convolutional neural network for diagnosis of pancreatic ductal adenocarcinoma based on EUS-FNA cytological images.

BMC cancer Mar 18, 2025
BACKGROUND: The cytological diagnostic process of EUS-FNA smears is time-consuming and manpower-intensive, and the conclusion could be subjective and controversial. Moreover, the relative lack of cytopathologists has limited the widespread implementa...
Neural Networks, Computer Female Aged Sensitivity and Specificity Male Middle Aged Humans Endoscopic Ultrasound-Guided Fine Needle Aspiration Convolutional Neural Networks Pancreatic Neoplasms Carcinoma, Pancreatic Ductal
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CacPred: a cascaded convolutional neural network for TF-DNA binding prediction.

BMC genomics Mar 18, 2025
BACKGROUND: Transcription factors (TFs) regulate the genes' expression by binding to DNA sequences. Aligned TFBSs of the same TF are seen as cis-regulatory motifs, and substantial computational efforts have been invested to find motifs. In recent yea...
Chromatin Immunoprecipitation Sequencing Algorithms Convolutional Neural Networks Protein Binding Neural Networks, Computer DNA Computational Biology Binding Sites Transcription Factors Software
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Robust resolution improvement of 3D UTE-MR angiogram of normal vasculatures using super-resolution convolutional neural network.

Scientific reports Mar 18, 2025
Contrast-enhanced UTE-MRA provides detailed angiographic information but at the cost of prolonged scanning periods, which may impose moving artifacts and affect the promptness of diagnosis and treatment of time-sensitive diseases like stroke. This st...
Imaging, Three-Dimensional Rats, Wistar Rats Contrast Media Stroke Magnetic Resonance Angiography Male Deep Learning Convolutional Neural Networks Neural Networks, Computer Animals
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Revolutionizing biological digital twins: Integrating internet of bio-nano things, convolutional neural networks, and federated learning.

Computers in biology and medicine Mar 17, 2025
Digital twins (DTs) are advancing biotechnology by providing digital models for drug discovery, digital health applications, and biological assets, including microorganisms. However, the hypothesis posits that implementing micro- and nanoscale DTs, e...
Deep Learning Convolutional Neural Networks Bacteria Humans Neural Networks, Computer Algorithms Internet of Things Federated Learning
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Fully automatic categorical analysis of striatal subregions in dopamine transporter SPECT using a convolutional neural network.

Annals of nuclear medicine Mar 16, 2025
OBJECTIVE: To provide fully automatic scanner-independent 5-level categorization of the [I]FP-CIT uptake in striatal subregions in dopamine transporter SPECT.
Adult Male Middle Aged Humans Corpus Striatum Female Convolutional Neural Networks Tomography, Emission-Computed, Single-Photon Tropanes Aged Image Processing, Computer-Assisted Automation Dopamine Plasma Membrane Transport Proteins
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A Novel Fusion Framework Combining Graph Embedding Class-Based Convolutional Recurrent Attention Network with Brown Bear Optimization Algorithm for EEG-Based Parkinson's Disease Recognition.

Journal of molecular neuroscience : MN Mar 15, 2025
Parkinson's disease recognition (PDR) involves identifying Parkinson's disease using clinical evaluations, imaging studies, and biomarkers, focusing on early symptoms like tremors, rigidity, and bradykinesia to facilitate timely treatment. However, d...
Convolutional Neural Networks Parkinson Disease Electroencephalography Datasets as Topic Humans Machine Learning Algorithms
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