AIMC Topic: Lung Neoplasms
Clear Filters Showing 1461 to 1470 of 1658 articles
HRGCNLDA: Forecasting of lncRNA-disease association based on hierarchical refinement graph convolutional neural network.
Mathematical biosciences and engineering : MBE
Feb 29, 2024
Long non-coding RNA (lncRNA) is considered to be a crucial regulator involved in various human biological processes, including the regulation of tumor immune checkpoint proteins. It has great potential as both a cancer biomolecular biomarker and ther...
Real-World Effectiveness of Lung Cancer Screening Using Deep Learning-Based Counterfactual Prediction.
Studies in health technology and informatics
Jan 25, 2024
The benefits and harms of lung cancer screening (LCS) for patients in the real-world clinical setting have been argued. Recently, discriminative prediction modeling of lung cancer with stratified risk factors has been developed to investigate the rea...
Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression.
Cancer research communications
Jan 11, 2024
UNLABELLED: Programmed death-ligand 1 (PD-L1) IHC is the most commonly used biomarker for immunotherapy response. However, quantification of PD-L1 status in pathology slides is challenging. Neither manual quantification nor a computer-based mimicking...
scGraph2Vec: a deep generative model for gene embedding augmented by graph neural network and single-cell omics data.
GigaScience
Jan 2, 2024
BACKGROUND: Exploring the cellular processes of genes from the aspects of biological networks is of great interest to understanding the properties of complex diseases and biological systems. Biological networks, such as protein-protein interaction ne...
Structured Knowledge Base Enhances Effective Use of Large Language Models for Metadata Curation.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
field name-field value
Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Gene expression profiles obtained through DNA microarray have proven successful in providing critical information for cancer detection classifiers. However, the limited number of samples in these datasets poses a challenge to employ complex methodolo...
Diagnostic-therapeutic management of pulmonary nodules.
Klinicka onkologie : casopis Ceske a Slovenske onkologicke spolecnosti
Jan 1, 2024
BACKGROUND: Lung cancer is one of the leading causes of death worldwide, with incidence and mortality significantly affected by population ageing and changes in the prevalence of risk factors. Lung nodules, which are often detected incidentally on im...
Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier.
Technology in cancer research & treatment
Jan 1, 2024
INTRODUCTION: This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patien...
A Hybrid 2D Gaussian Filter and Deep Learning Approach with Visualization of Class Activation for Automatic Lung and Colon Cancer Diagnosis.
Technology in cancer research & treatment
Jan 1, 2024
Cancer is a significant public health issue due to its high prevalence and lethality, particularly lung and colon cancers, which account for over a quarter of all cancer cases. This study aims to enhance the detection rate of lung and colon cancer by...
[Changes in FDG-PET Images of Small Lung and Liver Masses Caused by the Deep Learning-based Time-of-flight Processing].
Nihon Hoshasen Gijutsu Gakkai zasshi
Jan 1, 2024
PURPOSE: The deep learning time-of-flight (DL-ToF) aims to replicate the ToF effects through post-processing, applying deep learning-based enhancement to PET images. This study evaluates the effectiveness of DL-ToF using a chest-abdomen phantom that ...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 31767
- Neural Networks, Computer 30117
- Algorithms 27276
- Deep Learning 26781
- Artificial Intelligence 24716
- Robotics 13369
- Image Processing, Computer-Assisted 9692
- Retrospective Studies 9292
- Magnetic Resonance Imaging 6305
- Reproducibility of Results 5656
- Tomography, X-Ray Computed 4848
- Support Vector Machine 4746
- Computational Biology 4308
- Brain 4104
- Computer Simulation 3925
Recent Journals
- Scientific reports 6466
- Sensors (Basel, Switzerland) 4794
- PloS one 4133
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1907
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1156
- Journal of chemical information and modeling 1033
- Nature communications 997
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 869
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 842