AIMC Topic: Neural Networks, Computer

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Advanced CNN Architecture for Brain Tumor Segmentation and Classification using BraTS-GOAT 2024 Dataset.

Current medical imaging Jan 1, 2025
BACKGROUND: The BraTS Generalizability Across Tumors (BraTS-GoAT) initiative addresses the critical need for robust and generalizable models in brain tumor segmentation. Despite advancements in automated segmentation techniques, the variability in tu...
Image Processing, Computer-Assisted Databases, Factual Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Humans Sensitivity and Specificity Brain Neoplasms Neural Networks, Computer
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Exploration of Cervical Cancer Image Processing and Detection Based on URCNNs.

Current medical imaging Jan 1, 2025
BACKGROUND: Cervical cancer is a prevalent malignancy among women, often asymptomatic in early stages, complicating detection.
Image Processing, Computer-Assisted Humans Early Detection of Cancer Neural Networks, Computer Female Image Interpretation, Computer-Assisted Uterine Cervical Neoplasms
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Lightweight Lung-nodule Detection Model Combined with Multidimensional Attention Convolution.

Current medical imaging Jan 1, 2025
BACKGROUND: Early and timely detection of pulmonary nodules and initiation treatment can substantially improve the survival rate of lung carcinoma. However, current detection methods based on convolutional neural networks (CNNs) cannot easily detect ...
Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Humans Multiple Pulmonary Nodules Neural Networks, Computer Solitary Pulmonary Nodule Tomography, X-Ray Computed
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AI Methods for Antimicrobial Peptides: Progress and Challenges.

Microbial biotechnology Jan 1, 2025
Antimicrobial peptides (AMPs) are promising candidates to combat multidrug-resistant pathogens. However, the high cost of extensive wet-lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning...
Anti-Infective Agents Animals Drug Discovery Deep Learning Mice Neural Networks, Computer Antimicrobial Peptides Artificial Intelligence Humans Machine Learning
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Structure-Based Prediction of lncRNA-Protein Interactions by Deep Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
The interactions between long noncoding RNA (lncRNA) and protein play crucial roles in various biological processes. Computational methods are essential for predicting lncRNA-protein interactions and deciphering their mechanisms. In this chapter, we ...
Computational Biology Software Humans RNA-Binding Proteins Deep Learning Proteins RNA, Long Noncoding Neural Networks, Computer Protein Binding
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[Artificial intelligence-powered robotic joint surgery:application,research progress,and prospects].

Zhonghua wai ke za zhi [Chinese journal of surgery] Jan 1, 2025
Robotic joint surgery (RJS) has demonstrated high precision and reproducibility in total hip and knee arthroplasty,the integration of artificial intelligence(AI) has further enhanced the intelligence level of key processes,including surgical planning...
Surgery, Computer-Assisted Arthroplasty, Replacement, Knee Arthroplasty, Replacement, Hip Artificial Intelligence Robotic Surgical Procedures Humans Neural Networks, Computer
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A Dynamic Model for Early Prediction of Alzheimer's Disease by Leveraging Graph Convolutional Networks and Tensor Algebra.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Alzheimer's disease (AD) is a neurocognitive disorder that deteriorates memory and impairs cognitive functions. Mild Cognitive Impairment (MCI) is generally considered as an intermediate phase between normal cognitive aging and more severe conditions...
Deep Learning Cognitive Dysfunction Computational Biology Male Disease Progression Alzheimer Disease Early Diagnosis Humans Neural Networks, Computer Electronic Health Records Female Aged
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Enhancing Privacy-Preserving Cancer Classification with Convolutional Neural Networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Precision medicine significantly enhances patients prognosis, offering personalized treatments. Particularly for metastatic cancer, incorporating primary tumor location into the diagnostic process greatly improves survival rates. However, traditional...
Neural Networks, Computer Machine Learning Algorithms Humans Deep Learning Confidentiality Genomics Precision Medicine Privacy Computational Biology Neoplasms Computer Security
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Understanding TCR T cell knockout behavior using interpretable machine learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Genetic perturbation of T cell receptor (TCR) T cells is a promising method to unlock better TCR T cell performance to create more powerful cancer immunotherapies, but understanding the changes to T cell behavior induced by genetic perturbations rema...
Receptors, Antigen, T-Cell Computational Biology CRISPR-Cas Systems T-Lymphocytes Neoplasms Humans Neural Networks, Computer Gene Knockout Techniques Machine Learning
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DeepTransformer: Node Classification Research of a Deep Graph Network on an Osteoporosis Graph based on GraphTransformer.

Current computer-aided drug design Jan 1, 2025
BACKGROUND: Osteoporosis (OP) is one of the most common diseases in the elderly population. It is mostly treated with medication, but drug research and development have the disadvantage of taking a long time and having a high cost.
Artificial Intelligence Humans Osteoporosis Deep Learning Neural Networks, Computer
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