AIMC Topic: Adenocarcinoma of Lung

Clear Filters Showing 141 to 150 of 180 articles

Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks.

Scientific reports Mar 4, 2019
Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor grade and treatment for patients. However, this task is often challenging due to the heterogeneous nature of lung adenocarcinoma and the subjective criteri...
Pathologists Automation Histological Techniques Adenocarcinoma of Lung Humans Neural Networks, Computer Deep Learning Lung Neoplasms
View on PubMed DOI

A Comparative Texture Analysis Based on NECT and CECT Images to Differentiate Lung Adenocarcinoma from Squamous Cell Carcinoma.

Journal of medical systems Feb 1, 2019
The purpose of the study was to compare the texture based discriminative performances between non-contrast enhanced computed tomography (NECT) and contrast-enhanced computed tomography (CECT) images in differentiating lung adenocarcinoma (ADC) from s...
Tomography, X-Ray Computed Female Carcinoma, Squamous Cell Aged Humans Retrospective Studies Middle Aged Image Processing, Computer-Assisted Support Vector Machine Lung Neoplasms Contrast Media Socioeconomic Factors Diagnosis, Differential Adenocarcinoma of Lung Aged, 80 and over Adult Male
View on PubMed DOI

Ground Glass Lesions on Chest Imaging: Evaluation of Reported Incidence in Cancer Patients Using Natural Language Processing.

The Annals of thoracic surgery Oct 26, 2018
BACKGROUND: Ground glass opacities (GGOs) on computed tomography (CT) have gained significant recent attention, with unclear incidence and epidemiologic patterns. Natural language processing (NLP) is a powerful computing tool that collects variables ...
Incidence Follow-Up Studies Diagnosis, Differential Natural Language Processing Reproducibility of Results Risk Factors Male Middle Aged Texas Adenocarcinoma of Lung Humans Prognosis Retrospective Studies Tomography, X-Ray Computed Female
View on PubMed DOI

Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks.

International journal of computer assisted radiology and surgery Aug 29, 2018
PURPOSE: Convolutional neural networks have become rapidly popular for image recognition and image analysis because of its powerful potential. In this paper, we developed a method for classifying subtypes of lung adenocarcinoma from pathological imag...
Image Processing, Computer-Assisted Biopsy Adenocarcinoma of Lung Humans Neural Networks, Computer Transcriptome
View on PubMed DOI

A Risk Stratification Model for Lung Cancer Based on Gene Coexpression Network and Deep Learning.

BioMed research international Jan 16, 2018
Risk stratification model for lung cancer with gene expression profile is of great interest. Instead of previous models based on individual prognostic genes, we aimed to develop a novel system-level risk stratification model for lung adenocarcinoma b...
Adenocarcinoma of Lung Gene Expression Regulation, Neoplastic Adenocarcinoma Models, Biological Humans Machine Learning Risk Assessment Gene Regulatory Networks Lung Neoplasms
View on PubMed DOI

Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification.

Molecular medicine reports Dec 7, 2017
The present study aimed to identify the feature genes associated with smoking in lung adenocarcinoma (LAC) samples and explore the underlying mechanism. Three gene expression datasets of LAC samples were downloaded from the Gene Expression Omnibus da...
Gene Expression Regulation, Neoplastic Cluster Analysis Adenocarcinoma Smoking Support Vector Machine Adenocarcinoma of Lung Databases, Genetic Humans Gene Expression Profiling Protein Interaction Maps Lung Neoplasms
View on PubMed DOI

Identification of transcription factors that may reprogram lung adenocarcinoma.

Artificial intelligence in medicine Apr 1, 2017
BACKGROUND: Lung adenocarcinoma is one of most threatening disease to human health. Although many efforts have been devoted to its genetic study, few researches have been focused on the transcription factors which regulate tumor initiation and progre...
Gene Expression Regulation, Neoplastic Signal Transduction Transcription Factors Adenocarcinoma Databases, Genetic Cell Transformation, Neoplastic Transcription, Genetic Adenocarcinoma of Lung Gene Regulatory Networks Lung Neoplasms Computational Biology Epigenesis, Genetic Humans Artificial Intelligence
View on PubMed DOI

Predicting lung cancer prognosis using machine learning.

The Lancet. Oncology Aug 25, 2016
Decision Support Techniques Carcinoma, Squamous Cell ROC Curve Adenocarcinoma of Lung Lung Neoplasms Neoplasm Staging Humans Survival Analysis Machine Learning Image Interpretation, Computer-Assisted Adenocarcinoma Software Automation Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Area Under Curve
View on PubMed DOI

Bioinformatics approach reveals systematic mechanism underlying lung adenocarcinoma.

Tumori May 21, 2015
BACKGROUND: The purpose of this work was to explore the systematic molecular mechanism of lung adenocarcinoma and gain a deeper insight into it.
Receptor Cross-Talk Lung Neoplasms Signal Transduction Humans Protein Array Analysis Adenocarcinoma Computational Biology Software Calcium Gene Expression Regulation, Neoplastic Gene Ontology Gene Expression Profiling Peroxisome Proliferator-Activated Receptors Membrane Proteins Adenocarcinoma of Lung Collagen Type X
View on PubMed DOI

Characterization of m6A-Related Genes in Tumor-Associated Macrophages for Prognosis, Immunotherapy, and Drug Prediction in Lung Adenocarcinomas Based on Machine Learning Algorithms.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology Jun 15, 2025
Tumor-associated macrophages (TAMs) are a vital immune component within the tumor microenvironment (TME) of lung adenocarcinoma (LUAD), exerting significant influence on tumor growth, metastasis, and drug resistance. N6-methyladenosine (m6A) modifica...
Humans Machine Learning Algorithms Prognosis Gene Expression Regulation, Neoplastic Adenosine Tumor-Associated Macrophages Adenocarcinoma of Lung Tumor Microenvironment Biomarkers, Tumor Lung Neoplasms Immunotherapy
View on PubMed DOI
Popular Topics
Recent Journals