Výsledky vyhledávání - "Shaik Basheera"

Gray Matter Segmentation of Brain MRI Using Hybrid Enhanced Independent Component Analysis in Noisy and Noise Free Environment

Autor: M. Satya Sai Ram, Shaik Basheera

Publikováno v: Journal of Biomimetics, Biomaterials and Biomedical Engineering. 47:75-103

Medical segmentation is the primary task performed to diagnosis the abnormalities in the human body. The brain is the complex organ and anatomical segmentation of brain tissues is a challenging task. In this paper, we used Enhanced Independent compon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0015636218d3d0b2cb0f760295d4c35c
https://doi.org/10.4028/www.scientific.net/jbbbe.47.75

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Alzheimer’s Disease Classification using Leung-Malik Filtered Bank Features and Weak Classifier

Autor: SHAIK BASHEERA, Dr. M Satya Sai Ram

Publikováno v: International Journal of Recent Technology and Engineering (IJRTE). 8:1956-1961

We propose a frame work to classify Brain MRI images in to Alzheimer’s Disease (AD), Cognitive Normal (CN) and Mild Cognitive impairments (MCI). We use 114No’s of T2 weighted MRI Volumes. We extracted relative texture features from Leung-Malik Fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a7c7317399e9062a15fcc15781b9ea9
https://doi.org/10.35940/ijrte.c4484.098319

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Convolution neural network–based Alzheimer's disease classification using hybrid enhanced independent component analysis based segmented gray matter of T2 weighted magnetic resonance imaging with clinical valuation

Autor: Shaik Basheera, M. Satya Sai Ram

Publikováno v: Alzheimer's & Dementia : Translational Research & Clinical Interventions

In recent times, accurate and early diagnosis of Alzheimer's disease (AD) plays a vital role in patient care and further treatment. Predicting AD from mild cognitive impairment (MCI) and cognitive normal (CN) has become popular. Neuroimaging and comp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e8fc42977e153f2edb6a7384359d870
https://doi.org/10.1016/j.trci.2019.10.001

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Gray Matter Segmentation of Brain MRI Using Hybrid Enhanced Independent Component Analysis

Autor: M. Satya Sai Ram, Shaik Basheera

Publikováno v: International Journal of Image and Graphics. :2150029

One of the primary pre-processing tasks of medical image analysis is segmentation; it is used to diagnose the abnormalities in the tissues. As the brain is a complex organ, anatomical segmentation of brain tissues is a challenging task. Segmented gra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::940aebeae7df65921451d75587cb0e25
https://doi.org/10.1142/s0219467821500297

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A Hybrid Alzheimer’s Stage Classifier by Kernel SVM, MLP Using Texture and Statistical Features of Brain MRI

Autor: M. Satya Sai Ram, Shaik Basheera

Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811319051

Alzheimer’s Sisease (AD) stage classification is carried on 54 numbers of T2-weighted Magnetic resonance Images of different stages. Statistical and textual features collected from Segments of white, gray matter, and cerebral spinal fluid forms as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c74aca42efb9be3173cc43c5d3cd374f
https://doi.org/10.1007/978-981-13-1906-8_13

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Classification of Brain Tumors Using Deep Features Extracted Using CNN

Autor: M. Satya Sai Ram, Shaik Basheera

Publikováno v: Journal of Physics: Conference Series. 1172:012016

Deep learning play a major role in medical automation, Convolutional Neural Networks (CNN) is an important machine learning technique for medical image segmentation and classification. In this work, we propose a novel approach that uses CNN_S for cla

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ea1ea464abb5ff5158fe62e6faf46a71
https://doi.org/10.1088/1742-6596/1172/1/012016

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A Hybrid Enhanced Independent Component Analysis Approach for Segmentation of Brain Magnetic Resonance Image

Autor: MSatya Sai Ram, Shaik Basheera

Publikováno v: Defence Life Science Journal. 3:285

Medical imaging and analysis plays a crucial role in diagnosis and treatment planning. The anatomical complexity of human brain makes the process of imaging and analyzing very difficult. In spite of huge advancements in medical imaging procedures, ac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c36fec63781a14334e4bb74ff7dcd995
https://doi.org/10.14429/dlsj.3.11499

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Blind Medical Image Watermarking Technique for Secure Recovery of Hidden Data

Autor: D. Bhanu Prakash, P. V. Naganjaneyulu, Shaik. Basheera

Publikováno v: Advances in Digital Image Processing and Information Technology ISBN: 9783642240546

Digital watermarking is one of solutions to protect intellectual properties and copyright by hiding information, such as a random sequence or a logo, into digital media. This paper deals with a new blind robust watermarking technique for embedding se

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f963335dc13cf5aef8271e5e878c63f2
https://doi.org/10.1007/978-3-642-24055-3_19

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