Sökning: "Biomedical science"

Visar resultat 6 - 10 av 57 uppsatser innehållade orden Biomedical science.

  1. 6. Mechanical properties of WE43 : Finding optimized process parameters using PBF-LB for enhanced properties of the magnesium alloy

    Uppsats för yrkesexamina på grundnivå, Uppsala universitet/Institutionen för materialvetenskap

    Författare :Fanny Saarela; Fanny Sandblad; [2022]
    Nyckelord :biomedical engineering; materials science; additive manufacturing; powder bed fusion laser beam; PBF-LB; magnesium; magnesium alloys; WE43; mechanical properties; scan strategy; layer rotation; build direction; build orientation;

    Sammanfattning : When skeletal fractures are too extensive for fixation with plates and screws, autografts are the most used technique for treating this. Within the biomedical field the interest in biodegradable implants made from additive manufacturing have increased. Magnesium alloys has also gained interest because of its favorable mechanical properties.. LÄS MER

  3. 7. Utveckling av Polydimetylsiloxan-Mikropartiklar för Biomedicinsk NMR

    Kandidat-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Mohammad Al-Sultani; Josef Djärf; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Nuclear magnetic resonance spectroscopy is a technique for identifying molecular structures, compositions etc. and is widely used in many life science research fields. The purpose of this project is to synthesize PDMS microparticles with a magnetic susceptibility matching water, which makes them applicable for use in NMR of biological samples. LÄS MER

  4. 8. Teoretisk undersökning av bulkstrukturer av YSZ och en tvillinggräns av t-ZrO2 med DFT

    Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Ali Tayebi; Fanny Andersson; [2022]
    Nyckelord :DFT;

    Sammanfattning : The material yttria-reinforced zirconia (YSZ) is widely used in biomedical applications and is the latest material in dentistry for the production of dental implants such as crowns and bridges. The used concentrations of yttria in zirconia are usually between 3-8 mol% Y2O3 dissolved in the ZrO2 structure, which stabilizes ZrO2 in tetragonal structure at RT. LÄS MER

  5. 9. Medical image captioning based on Deep Architectures

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Georgios Moschovis; [2022]
    Nyckelord :Artificial Neural Networks; Deep Learning; Speech and language technology; Natural Language Processing NLP ; Deep networks; Generative deep networks; Convolutional neural networks CNN ; Text generation; Information retrieval; Diagnostic captioning; Image captioning; concept prediction; classification; image encoders; transformers; Encoder-Decoder architecture; abstractive summarization; Neurala nätverk; Djup inlärning; Tal-och språkteknologi; naturlig språkbehandling; djup neurala nätverk; generativa djupa nätverk; konvolutionella neurala nätverk; Textgenerering; Informationssökning; Diagnostisk textning; Bildtextning; konceptförutsägelse; klassificering; bildkodare; transformatorer; kodaravkodararkitektur; abstrakt sammanfattning;

    Sammanfattning : Diagnostic Captioning is described as “the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination” [59] and it can assist inexperienced doctors and radiologists to reduce clinical errors or help experienced professionals increase their productivity. In this context, tools that would help medical doctors produce higher quality reports in less time could be of high interest for medical imaging departments, as well as significantly impact deep learning research within the biomedical domain, which makes it particularly interesting for people involved in industry and researchers all along. LÄS MER

  7. 10. Segmenting the Left Atrium in Cardic CT Images using Deep Learning

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Aman Kumar Nayak; [2021]
    Nyckelord :Deep Learning; UNet; Image Segmentation;

    Sammanfattning : Convolution neural networks have achieved a state of the art accuracy for multi-class segmentation in biomedical image science. In this thesis, a 2-Stage binary 2D UNet and MultiResUNet are used to segment the 3D cardiac CT Volumes. 3D volumes have been sliced into 2D images. LÄS MER