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Showing result 6 - 10 of 228 essays matching the above criteria.

  1. 6. Image Segmentation and Object Identification in Cancer Tissue Slides from Fluorescence Microscopy

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Sebastian Eriksson; Fredrik Forsberg; [2023]
    Keywords : image analysis; cancer research; fluorescent microscopy; image segmentation; bildanalys; cancerforskning; fluorescensmikroskopi; bildsegmentering;

    Abstract : In cancer research, there is a need to make accurate spatial measurements in multi-layered fluorescence microscopy images. Researchers would like to measure distances in and between biological objects such as nerves and tumours, to investigate questions which includes if nerve distribution in and around tumours can have a prognostic value in cancer diagnostics. READ MORE

  3. 7. Simulating metal ct artefacts for ground truth generation in deep learning.

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Arthur Barakat; [2023]
    Keywords : Technology and Engineering;

    Abstract : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. READ MORE

  4. 8. Development of a Complete Minuscule Microscope: Embedding Data Pipeline and Machine Learning Segmentation

    University essay from KTH/Tillämpad fysik

    Author : Kenan Zec; [2023]
    Keywords : Incubation-microscope; Machine Learning Segmentation; ESP32-Cam; Deep Learning; Inkubationsmikroskop; Maskininlärnings-segmentering; ESP32-Cam; Deep Learning;

    Abstract : Cell culture is a fundamental procedure in many laboratories and precedes much research performed under the microscope. Despite the significance of this procedural stage, the monitoring of cells throughout growth is impossible due to the absence of equipment and methodological approaches. READ MORE

  5. 9. EXTRACTING REGIONS OF INTEREST AND DETECTING OUTLIERS FROM IMAGE DATA

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Jessica Ström; Erik Backhans; [2023]
    Keywords : Artificial Intelligence AI ; Machine Vision; Outlier Detection; Autoencoders; Neural Networks; Region Of Interest ROI ;

    Abstract : Volvo Construction Equipment (CE) are facing the challenge of vibrations in their wheel loaders that generate disruptive noise and impact the driver's experience. These vibrations have been linked to the contact surface between the crown wheel and pinion gear in the vehicles drive-axles. READ MORE

  6. 10. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ali Muquri; [2023]
    Keywords : ;

    Abstract : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. READ MORE