Wyniki wyszukiwania dla: ARTIFICIAL MAGNETIC CONDUCTOR (AMC), EARLY-STAGE BREAST AND BRAIN TUMOR DETECTION, MICROWAVE IMAGING (MWI), BIOSENSORS, BROADBAND ANTENNAS

• Design and Experimental Validation of a Metamaterial-Based Sensor for Microwave Imaging in Breast, Lung, and Brain Cancer Detection

  Publikacja

  • M. Hamza
  • S. Kozieł
  • A. Pietrenko-Dąbrowska

  - Scientific Reports - Rok 2024

  This study proposes an innovative geometry of a microstrip sensor for high-resolution microwave imaging (MWI). The main intended application of the sensor is early detection of breast, lung, and brain cancer. The proposed design consists of a microstrip patch antenna fed by a coplanar waveguide with a metamaterial layer-based lens implemented on the back side, and an artificial magnetic conductor (AMC) realized on as a separate...

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• Advanced Sensor for Non-Invasive Breast Cancer and Brain Cancer Diagnosis Using Antenna Array with Metamaterial-Based AMC

  Publikacja

  • M. Hamza
  • M. T. Islam
  • S. Kozieł

  - Engineering Science and Technology-An International Journal-JESTECH - Rok 2024

  Microwave imaging techniques can identify abnormal cells in early development stages. This study introduces a microstrip patch antenna coupled with artificial magnetic conductor (AMC) to realize improved sensor for non-invasive (early-stage) breast cancer and brain cancer diagnosis. The frequency selectivity of the proposed antenna has been increased by the presence of AMC by creating an additional resonance at 2.276 GHz associated...

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• Image Segmentation of MRI image for Brain Tumor Detection

  Publikacja

  • K. Ullah

  - Rok 2020

  this research work presents a new technique for brain tumor detection by the combination of Watershed algorithm with Fuzzy K-means and Fuzzy C-means (KIFCM) clustering. The MATLAB based proposed simulation model is used to improve the computational simplicity, noise sensitivities, and accuracy rate of segmentation, detection and extraction from MR...

• Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis

  Publikacja

  • M. Glembin
  • A. Obuchowski
  • B. Klaudel
  • B. Rydziński
  • R. Karski
  • P. Syty
  • P. Jasik
  • W. J. Narożański

  - Medical Science Monitor - Rok 2023

  Renal cell carcinoma is one of the most common cancers in Europe, with a total incidence rate of 18.4 cases per 100 000 population. There is currently significant overdiagnosis (11% to 30.9%) at times of planned surgery based on radiological studies. The purpose of this study was to create an artificial neural network (ANN) solution based on computed tomography (CT) images as an additional tool to improve the differentiation of...

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• Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing

  Publikacja

  • K. Pastuszak
  • M. Sieczczyński
  • M. Dzięgielewska
  • R. Wolniak
  • A. Drewnowska
  • M. Korpal
  • L. Zembrzuska
  • A. Supernat
  • A. J. Żaczek

  - Scientific Reports - Rok 2024

  Circulating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically...

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• Smart Approach for Glioma Segmentation in Magnetic Resonance Imaging using Modified Convolutional Network Architecture (U-NET)

  Publikacja

  • N. Sohail
  • S. M. Anwar
  • F. Majeed
  • E. Szczerbicki

  - CYBERNETICS AND SYSTEMS - Rok 2021

  Segmentation of a brain tumor from magnetic resonance multimodal images is a challenging task in the field of medical imaging. The vast diversity in potential target regions, appearance and multifarious intensity threshold levels of various tumor types are few of the major factors that affect segmentation results. An accurate diagnosis and its treatment demand strict delineation of the tumor affected tissues. Herein, we focus on...

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• Novel electrogravimetric biosensors for the ultrasensitive detection of plasma matrix metalloproteinase-2 considered a potential tumor biomarker

  Publikacja

  • M. Nisiewicz
  • A. Gajda
  • A. Kowalczyk
  • A. Cupriak
  • A. Kasprzak
  • M. Bamburowicz-Klimkowska
  • I. Grudzinski
  • A. Nowicka

  - Analytica Chimica Acta - Rok 2022

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• Activation maps of convolutional neural networks as a tool for brain degeneration tracking in early diagnosis of dementia in Parkinson's disease based on magnetic resonance imaging

  Publikacja

  • A. Suwalska
  • J. Siuda
  • S. Kocot
  • W. Zmuda
  • M. Rudzinska-Bar
  • J. Polanska

  - Rok 2021

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• Progress in targeting tumor cells by using drug-magnetic nanoparticles conjugate.

  Publikacja

  • A. M. Nowicka
  • A. Kowalczyk
  • A. Jarzębińska
  • M. Donten
  • P. Krysiński
  • Z. Stojek
  • E. Augustin
  • Z. Mazerska

  - BIOMACROMOLECULES - Rok 2013

  To limit the cytotoxicity of anticancer drugs against healthy cells, an appropriate carrier should be synthesized to deliver the drug to the tumor tissue only. A good solution is to anchor a magnetic nanoparticle to the molecule of the drug and to use a properly directed external magnetic field. We have shown that the improved by us synthesis of the conjugate of doxorubicin with iron-oxide magnetic nanoparticles allows a substantial...

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• BIOSENSORS & BIOELECTRONICS

  Czasopisma

  ISSN: 0956-5663 , eISSN: 1873-4235