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

23 articles for “Brain Tumor”
Set a search alert
Also matching:1 special issue
Research ArticleOpen accessIn the abstractEnhanced Postoperative Brain MRI Segmentation with Automated Skull Removal and Resection Cavity AnalysisSobha Xavier P., Sathish P. K., Raju G.Brain tumors present a significant medical challenge, often necessitating surgical intervention for treatment. In the context of postoperative brain MRI, the primary focus is on the resection cavity, the void that remains in the brain following tumor removal surgery. Precise segmentation of this resection cavity is crucial for a comprehensive assessment of surgical efficacy, aiding healthcare professionals in evaluating the … …Journal of Computer Science, Vol. 20, Issue 5 · 19 Mar 2024 · 5,697 accessesView PDFCite
EditorialOpen accessIn the abstractNanotechnology: Engineering Materials for a Better 21st CenturyMeng Qiao, Xiyun Liu, Lei ZhangToday, we are living in the midst of a technological revolution, where nanotechnology is demonstrating a greater commitment to make people’s everyday lives better. The aim of nanotechnology is to create new materials with desired properties by engineering their nanoscale structures and components. One of the most important impacts of nanotechnology is in medical diagnosis and treatment. Cardiovascular diseases such … …Current Research in Nanotechnology, Vol. 5, Issue 1 · 26 Nov 2014 · 8,737 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HYBRID FIREFLY ALGORITHM WITH FUZZY-C MEAN ALGORITHM FOR MRI BRAIN SEGMENTATIONMutasem K. AlsmadiImage processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 10 Sep 2014 · 8,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractPREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORKS. Karpagam, S. GowriNeural networks are a computational paradigm model of the human brain that has become popular in recent years. We have tried to address the problem of Glioma by creating a more accurate classifier which can act as an expert assistant to medical practitioners. Brain stem gliomas are now recognized as a heterogenous group of tumors. In this study proposed a … …Journal of Computer Science, Vol. 9, Issue 11 · 1 Oct 2013 · 6,693 accessesView PDFCite
Research ArticleOpen accessIn the abstractWavelet Statistical Texture Features with Orthogonal Operators Tumour Classification in Magnetic Resonance Imaging BrainR. Meenakshi, P. AnandhakumarTumors medically also called neoplasms are an abnormal mass of tissue resulting from uncontrolled proliferation or division of cells occurring in the human body. If such growth is located in the brain then it is called as brain tumor. Identification of such tumors is a major challenge in the field of medical science. Early identification of tumors prove to be … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 6,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnticancer Activity of Some New Synthesized Tetrahydroquinoline and Tetrahydrochromene Carbonitrile DerivativesUsama W. Hawas, Mohamed A. Al-Omar, Abd El-Galil E. Amr, Abu El-Ftouh G. HammamProblem statement: In continuation to our search for new heterocyclic chemistry based anticancer, the suggestion, synthesis, structure elucidation of some naphthalene, chromene and quinoline derivatives 3-7 were realized herein using 3-methylcyclohexanone 1 as a starting material. Approach: The antitumor activities of the newly synthesized compounds 4-7 were evaluated utilizing 60 different human tumor cell lines, representing leukemia, melanoma, lung, colon, … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 14 Sep 2011 · 7,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnticancer Activities of Some New Synthesized Thiazolo[3,2-a]Pyrido[4,3-d]Pyrimidine DerivativesAshraf M. Mohamed, Abdel-Galil E. Amr, Musaed A. Alsharari et al.Problem statement: This study describes the synthesis and anticancer activities of a new series of thiazolo[3,2-a]pyrimidines derivatives (2-7) using 3,5-bisarylmethylene-1-methyl-4- piperidone and 4-aryl-8-arylmethelene-6-methylpyrido[4,3-d]pyrimidine-2(1H)thiones as a starting materials. Approach: The antitumor activities of the newly synthesized compounds 4-7 were evaluated utilizing 60 different human tumor cell lines, representing leukemia, melanoma, lung, colon, brain, ovary, breast and prostate as well as kidney. … …American Journal of Biochemistry and Biotechnology, Vol. 7, Issue 2 · 23 Aug 2011 · 10,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of Electromagnetic Radiation and Specific Absorption Rate of Mobile Phones with Fractional Human Head Models via Green's FunctionsNookala Srinivasa Rao, G. R. Babu, P. V.S. SrinivasProblem statement: Electromagnetic Radiation from mobile hand set is identified as one of the side effects for increasing rate of brain tumor. Due to this reason, Mobile phone industries are attentive towards safety issues of human health. Specific Absorption Rate is one of the important parameter while modeling the radiation effect on human head. Brain material with homogeneity is treated … …Journal of Computer Science, Vol. 7, Issue 8 · 16 Jul 2011 · 6,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Computer Aided Diagnosis System Based on Parallel Approach of Ant Based Medical Image SegmentationJayabalan Jaya, Keppanagowder ThanushkodiProblem statement: The aim of this study is to develop Computer Aided Diagnosis (CAD) system for the detection of brain tumor by using parallel implementation of ACO system for medical image segmentation applications due to the rapid execution for obtaining and extracting the Region of Interest (ROI) from the images for diagnostic purposes in medical field. Approach: For ROI segmentation, … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 8,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Fuzzy Neural Networks for the Detection of Tumors in Medical ImagesN. Benamrane, A. Freville, R. NekkacheIn this study, we propose an approach to detect suspect zones or tumors in medical images. The idea is to define with precision the existence of different kinds of lesions using a hybrid system, which combines Fuzzy Neural Networks and Expert System. After applying a method of image segmentation to extract regions (by region growing algorithm or by mathematical morphology … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,873 accessesView PDFCite