Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

197 results for “tumor”
Set a search alert
Research ArticleOpen accessEvery word in the titleBrain Tumor Segmentation and Classification Using HardNet Transformer With Gated Recurrent Unit ModelSaida D, Srinivas Adepu, Thade Lakshmi Devi et al.The uncontrolled growth of brain tumor cells presents a severe health risk, making early diagnosis and accurate classification essential for improving treatment outcomes. However, the existing approaches used for segmentation fail to delineate the tumor regions accurately due to a lack of global contextual information of brain tumors, resulting in poor classification performance. To overcome this limitation, this research proposes … …Journal of Computer Science, Vol. 22, Issue 9 · 26 Sep 2026 · 630 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExplainable MedAttn-ResNet50 for Automated Kidney Tumor Classification from CT Images With Grad-CAM VisualizationD. Vetrithangam, Pramod Kumar, Shilpasree S. et al.Kidney tumor classification from CT imaging remains challenging due to CT-specific intensity variations, tumor heterogeneity, and limited clinically meaningful interpretability in existing deep learning models. To address these limitations, we propose an Explainable MedAttn-ResNet50 framework that integrates radiology-driven preprocessing, multi-scale feature extraction, and medical attention mechanisms within a unified architecture. The preprocessing pipeline applies radiology-inspired intensity normalization, contrast enhancement, and … …Journal of Computer Science, Vol. 22, Issue 8 · 13 Aug 2026 · 1,120 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTowards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and ClassificationKamini Lamba, Shalli RaniThe abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. Traditional radiology-based tumor detection is prone to human error and delays. Hence, a computer- assisted method is needed for accurate and efficient diagnosis. With the rapid advancements in … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,427 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,477 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Serum Interleukin-8 (CXCL8) Concentrations in Tumor Bearing DogsMelanie Haas, Franz-Josef Kaup, Stephan NeumannInterleukin-8 (IL-8 or CXCL8) is a pro-inflammatory and angiogenic chemokine involved in tumorigenesis. Serum CXCL8 is elevated in various neoplastic diseases, but its potential value as a tumor marker in veterinary medicine is unknown. Here, we measured serum CXCL8 concentrations in dogs with various neoplastic diseases using a commercially available canine ELISA kit and analyzed its relationship with patient and … …American Journal of Animal and Veterinary Sciences, Vol. 10, Issue 4 · 24 Nov 2015 · 6,975 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePERFORMANCE ANALYSIS OF BRAIN TUMOR DIAGNOSIS BASED ON SOFT COMPUTING TECHNIQUESP. Shantha Kumar, P. Ganesh KumarComputed tomography images are widely used in the diagnosis of brain tumor because of its faster processing, avoiding malfunctions and suitability with physician and radiologist. This study proposes a new approach to automated detection of brain tumor. This proposed work consists of various stages in their diagnosis processing such as preprocessing, anisotropic diffusion, feature extraction and classification. The local binary … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 27 Dec 2013 · 6,985 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBispectral Analysis of Scalp Electroencephalograms: Quadratic Phasecoupling Phenomenon in Detecting Brain TumorV. Salai Selvam, S. ShenbagadeviSince the power spectral analysis of a non-Gaussian process generated by a nonlinear mechanism e.g., EEG, does not provide much information on the underlying nonlinear dynamics due to the lack of phase information, the higher-order statistics such as the bispectra are used to better understand the underlying nonlinear dynamics e.g., the quadratic phase coupling phenomena. The quadratic phase couplings have … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 27 Mar 2013 · 6,537 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTolemerase Reverse Transcriptase Gene Expression as a Tumor Marker for Hepatocellular CarcinomaM. Magdi Atta, Naglaa Al-Toukhy, Omnia Al-Said et al.Problem statement: Hepatocellular carcinoma will emerge as a major form of malignancy in the coming decades. The continuing high incidence of hepatocellular carcinoma, suggests that this disease will continue to represent a global health problem far into the future. Different genes encode for the various components of the human telomerase complex. These components include the human Telomerase RNA Component (hTERC) … …American Journal of Biochemistry and Biotechnology, Vol. 7, Issue 2 · 3 Aug 2011 · 7,905 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUncommon Toxicologic Profile at Toxic Doses of CPI-613 (an Agent Selectively Alters Tumor Energy Metabolism) in Rats and Minipigs Reflects Novel MechanismClaudia Maturo, King C. Lee, Robert Rodriguez, Robert ShorrProblem statement: CPI-613 is a novel anticancer agent and the toxicological profile has not been assessed. Accordingly, the objective of these studies was to thoroughly evaluate the Toxicokinetic (TK) effects of CPI-613 in rats and to compare the toxicological profile of rats to minipigs to determine if there were differences between the two animal species. Approach: These studies involved assessments … …American Journal of Pharmacology and Toxicology, Vol. 5, Issue 4 · 13 Jun 2011 · 9,582 accessesView PDFCite