Essays about: "Clinical information"

Showing result 11 - 15 of 499 essays containing the words Clinical information.

  1. 11. Using Generative Adversarial Networks for H&E-to-HER2 Stain Translation in Digital Pathology Images

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : William Tirmén; [2023]
    Keywords : Machine learning; Artificial intelligence; Digital pathology; Image processing; Generative adversarial networks; Image-to-image translation;

    Abstract : In digital pathology, hematoxylin & eosin (H&E) is a routine stain which is performed on most clinical cases and it often provides clinicians with sufficient information for diagnosis. However, when making decisions on how to guide breast cancer treatment, immunohistochemical staining of human epidermal growth factor 2 (HER2 staining) is also needed. READ MORE

  2. 12. Physiology-Guided Machine Learning for Improved Reliability of Non-Invasive Assessment of Pulmonary Hypertension

    University essay from Linköpings universitet/Avdelningen för medicinsk teknik

    Author : Frida Hermansson; [2023]
    Keywords : Pulmonary Hypertension; pulmonary hypertension; improving; physiological-guided; machine learning; neural networks; NN; artificial neural networks; non-invasive; PH; tricuspid regurgitation; peak tricuspid regurgitation velocity; tricuspid regurgitation velocity; right ventricular systolic pressure; VGG16; Unet; TR-CNN; CNN; pulmonell hypertension; förbättra; fysiologisk-guidning; neurala nätverk; trikuspidal regurgitation; maximal trikuspidal regurgitation; icke-invasivt;

    Abstract : Diagnosing pulmonary hypertension (PH) with right heart catheterization (RHC) is associated with a risk for complications and high expenses, leading to late diagnoses [1]. Transthoracic echocardiography can be used to assess non-invasive indicators for PH such as right ventricular systolic pressure (RVSP), which can be estimated by combining the peak tricuspid regurgitation velocity (TRV) with the estimated right arterial pressure (RAP). READ MORE

  3. 13. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Atena Nazem; [2023]
    Keywords : Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

    Abstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE

  4. 14. Parasitära anmärkningar vid renslakt 2013–2022

    University essay from SLU/Dept. of Clinical Sciences

    Author : Serina Fjällberg; [2023]
    Keywords : ren; slakt; besiktning; Rangifer tarandus; parasiter; H. tarandi; D. eckerti; E. rangifer; S. tundrae; O. tarsicola;

    Abstract : Det finns idag 240 000 renar i vinterhjorden i Sverige, och renskötsel bedrivs på 55 % av landets yta av urfolket samerna. Renskötsel är en unik djurhållning, där de semi-domesticerade renarna lever fritt i skog och fjäll. READ MORE

  5. 15. Implementing UX/UI in a real-time speech recognition and translation application in Android and a clinical study

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Pamela Chilo; [2023]
    Keywords : ;

    Abstract : According to WHO(World Health Organization) there are over 1,5 billion people living with hearing loss. Furthermore, HRF(Hörselskadades riksförbund) believe that ‘hidden hearing loss’ can be a much larger scale of the population than what was believed. There are two parts in this project taking place parallel. READ MORE