AIMC Topic: Lung Neoplasms

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Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM.

Journal of digital imaging
Lung cancer is pointed as the major cause of death among patients with cancer throughout the world. This work is intended to develop a methodology for diagnosis of lung nodules using images from the Image Database Consortium and Image Database Resour...

Combining deep learning and coherent anti-Stokes Raman scattering imaging for automated differential diagnosis of lung cancer.

Journal of biomedical optics
Lung cancer is the most prevalent type of cancer and the leading cause of cancer-related deaths worldwide. Coherent anti-Stokes Raman scattering (CARS) is capable of providing cellular-level images and resolving pathologically related features on hum...

Robot-assisted Extracranial Stereotactic Radiotherapy of Adrenal Metastases in Oligometastatic Non-small Cell Lung Cancer.

Anticancer research
AIM: The aim of this study was to evaluate the efficacy and toxicity of stereotactic body radiation therapy (SBRT) in the treatment of patients with adrenal metastases in oligometastatic non-small-cell lung cancer (NSCLC).

The affordability of minimally invasive procedures in major lung resection: a prospective study.

Interactive cardiovascular and thoracic surgery
OBJECTIVES: Minimally invasive procedures are used for the surgical treatment of lung cancer. Two techniques are proposed: video-assisted thoracic surgery or robotic-assisted thoracic surgery. Our goal was to study the economic impact of our long-sta...

Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets.

Cancer cell
Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable effi...

The Diagnostic Imagination in Radiology: Part 2.

Radiology management
Developing algorithms for the improve- ment of diagnostic care leverages tech- nologies and techniques developed across industries that are exponentially being improved, developed, and tested. Machine learning means extracting patterns not only from ...

Development of Asian Non-Small Cell Lung Cancer Survival Prediction Model Using an Innovative Method of Bayesian Network.

Studies in health technology and informatics
We constructed a novel prognostic model using an innovative method of Bayesian Network (BN) to predict Non-Small Cell Lung Cancer survival status within 5 years after operation in the Asian population. The proposed BN model could present the relation...

KAI1/CD82, Metastasis Suppressor Gene as a Therapeutic Target for Non-Small-Cell Lung Carcinoma.

Journal of environmental pathology, toxicology and oncology : official organ of the International Society for Environmental Toxicology and Cancer
Lung cancer is the most frequent malignancy and the leading cause of cancer-related death worldwide; it is the second most common cancer, comprising 1.69 million deaths worldwide per year. Among these, 85% of lung cancers are non-small-cell lung carc...