Medical Imaging

TEST6

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89 Views

There is an unmet need for quick, physically small, and cost-effective office-based techniques that can measure bone properties without the use of ionizing radiation. The present study reports application of a neural network classifier to the processing of previously collected data on very low power radiofrequency propagation through the wrist with the goal to detect osteoporotic/osteopenic conditions. Our approach categorizes the data obtained for two dichotomic groups. Group 1 included 27 osteoporotic/osteopenic subjects with low BMD (DXA T score below - 1) measured within one year.

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250 Views

The dataset is divided into two sub-folders - 'source' and 'target'. The 'source' folder has a total of 4,080 images of Chest X-rays. The 'target' folder has a total of 4,080 Dual-Energy subtracted images corresponding to the images present in 'source' folder.

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317 Views

This data set contains:

 

-88 patients

 

-the noncontrast computed tomography (NCCT) and computed tomography angiography (CTA) performed before thrombectomy.

 

-the VOI of blood clot for NCCT and CTA.

 

For each patient NCCT data is marked "2" and CTA is marked "1".

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475 Views

The concept of tuberculosis detection paves a major role in this recent world because, according to the Global Tuberculosis (TB) Report in 2019, more than one million cases are reported per year in India. Even though various tests are available, the chest X-ray is the most important one, without which the detection will be incomplete. In ancient poster anterior chest radiographs, several clinical and diagnostic functions are built by the use of computationally designed algorithms.

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180 Views

This dataset is in support of my research paper 'Comparison of ElectroMagnetic Emissions & Harmonic Analysis of 20 HP Motor Controlled by 3L NPC Inverter '.

Preprint : https://doi.org/10.36227/techrxiv.19687041.v1

This is useful for manufacturers and r&d engineers for product costing. For more information, results, conclusions on this, pls read research paper.

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3671 Views

The Magnetic Resonance – Computed Tomography (MR-CT) Jordan University Hospital (JUH) dataset has been collected after receiving Institutional Review Board (IRB) approval of the hospital and consent forms have been obtained from all patients. All procedures followed are consistent with the ethics of handling patients’ data.

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1808 Views

The Magnetic Resonance – Computed Tomography (MR-CT) Jordan University Hospital (JUH) dataset has been collected after receiving Institutional Review Board (IRB) approval of the hospital and consent forms have been obtained from all patients. All procedures followed are consistent with the ethics of handling patients’ data.

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722 Views

 Histopathological characterization of colorectal polyps allows to tailor patients' management and follow up with the ultimate aim of avoiding or promptly detecting an invasive carcinoma. Colorectal polyps characterization relies on the histological analysis of tissue samples to determine the polyps malignancy and dysplasia grade. Deep neural networks achieve outstanding accuracy in medical patterns recognition, however they require large sets of annotated training images.

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1878 Views

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