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40 results for “lung cancer”
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Research ArticleOpen accessPhrase in the titleHybrid CNN-Based Transformer Pipeline With Radiomic Fusion for Multi-Class Lung Cancer DetectionAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarEarly detection of lung cancer remains challenging due to high intra-class variation and inter-class similarity in Computed Tomography (CT) images. In this paper, we propose a hybrid deep learning model that combines convolutional, attention-based, and transformer-guided representations to address these challenges in multi-class lung cancer classification. For deep feature extraction, we use the EfficientNetV2-S architecture augmented with a Convolutional Block … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jun 2026 · 1,528 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleMachine Learning Advancements for Lung Cancer Detection: An In-Depth Review and Future ProspectsAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarLung cancer is a major cause of cancer-related mortality globally, underscoring the necessity for efficient diagnostic instruments. The review paper summarizes the role of ML and DL in detection, staging, and prognostication of lung cancer. We evaluate the relative efficacy of several models, such as CNNs, SVMs, and ensemble approaches, by analyzing publically accessible imaging and molecular information. We emphasize … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Mar 2026 · 1,794 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDecoding Lung Cancer: PLAU as a Critical Driver and Diagnostic MarkerStanley Cho, Min Gyeong KimLung cancer remains a leading cause of cancer-related mortality, and understanding its underlying molecular mechanisms is critical for developing targeted therapies. We developed a novel tool called the Transcriptome-TCGA Integration (TTI), which combines in vitro transcriptome data with clinical datasets from the Cancer Genome Atlas (TCGA). TTI allows for the identification of key genes and pathways involved in lung cancer, … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,424 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCPF-Net: Cross-modal CT and Pathology Guided Feature Learning for CT-based Lung Cancer Subtype ClassificationPeizhi Tan, Debiao YanAccurate classification of lung cancer subtypes from CT images remains challenging due to the subtle radiological differences between adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). We propose CPF-Net, a deep learning framework that integrates CT and pathological information through a Linear Spatial Reduction Attention (LSRA) module. The framework processes whole slide images using a modified CTransPath architecture for pathological feature … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 23 Jan 2026 · 1,856 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMechanism Analysis of Artemisinin and Artesunate as Lung Cancer Therapy Agents Through in Silico MethodDidik Harmoko, Vivitri Dewi Prasasty, Adi YulandiSeveral in vitro studies have focused on the ability of artemisinin and its derivatives to suppress lung cancer cells, but there are still many biological processes and mechanisms, such as the interactions between the active compounds (ligands) and receptors that are not well understood and require further research. Drug targeting for lung cancer will be more precise and the inhibition … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 15 Feb 2024 · 6,144 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleClassification of Non-Small Cell Lung Cancer Based on Gene Expression in Cases of Smokers and Non-Smokers using Ensemble Methods with Statistical Based Feature SelectionFhira Nhita, Isman KurniawanLung cancer is one of the leading causes of death globally. One of the main risk factors for lung can ceris smoking, which causes more than 90% of lung cancer cases. There are two types of lung cancer, i.e., Small Cell Lung Cancer (SCLC) and Non-Small Cell Lung Cancer (NSCLC), which the latter is the most common. One method that … …Journal of Computer Science, Vol. 18, Issue 10 · 30 Sep 2022 · 6,093 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleGrasshopper Optimization Algorithm-Generative Adversarial Network for Lung Cancer Detection and ClassificationSukruth Gowda, A JayachandranLung cancer is one of the most dangerous deadly diseases for individuals worldwide. Thus, the survival rate is low due to the difficulty in detecting lung cancer at advanced stages like symptoms; thus, prominence for early diagnosis is important. The detection and treatment of lung cancer is having great importance for early diagnosis. The existing Convolution Neural Network (CNN) based … …Journal of Computer Science, Vol. 18, Issue 3 · 9 Apr 2022 · 6,575 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleA Review of Technological Progression from Radiomics to Breathomics for Early Detection of Lung CancerFunmilayo S. Moninuola, Oluwadamilola Oshin, Emmanuel Adetiba et al.Lung Cancer (LC) is formed by an uncontrolled growth of abnormal cells in the lungs, which alters the body's metabolism. Early detection of LC is very important for a better survival rate and prognosis in patients and persons at risk of the disease. Traditional approaches to LC detection are less sensitive to cancerous cells at the early stage, are invasive … …Journal of Computer Science, Vol. 17, Issue 11 · 26 Nov 2021 · 6,257 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMutations in Tumor suppressor TP53 Gene in Formalin- Fixed, Paraffin Embedded Tissues of Squamous Cell Carcinoma (SCC) of Lung CancerAbbas Mohammadi, Ali Vaziri Gohar, Mohamad Reza ShakibaieThe TP53 gene mutations have been extensively studied in lung cancer and have been used as a means to understand the origin(s) and mechanisms of these mutations in lung cancer development. TP53 gene mutations occur frequently in many human cancers. Analysis of TP53 gene mutations can also provide clues to the etiology of tumor formation. Formalin-fixed, paraffin embedded (FFPE) tissues … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 1 · 31 Mar 2008 · 8,000 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleImmunofluorometrical Exploring of Cortisol Hormone Levels in the Serum of Patients with Histologically Verified Microcellular Lung CancerIvan MilosevicIt is already known in the science that the cells of microcellular lung cancer can produce ACTH. By following the levels of Cortisol as one consequence of ACTH producing, in the serum of microcellular lung cancer patients, we could make some statistical conclusions how significant these levels would be in eventual future early diagnostic procedures, besides already existing tumormarkers etc. … …American Journal of Immunology, Vol. 1, Issue 1 · 31 Mar 2005 · 7,177 accessesView PDFCite