Essays about: "lungcancer"

Showing result 1 - 5 of 22 essays containing the word lungcancer.

  1. 1. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Federica Carmen Maruccio; [2023]
    Keywords : 3D U-Net; Contouring; Clinical validation; Deep learning; Lung cancer; Monte Carlo dropout; Probability map; Reliability diagram; Segmentation; Uncertainty map;

    Abstract : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. READ MORE

  3. 2. Correlation between Surface and Tumour Motion in Lung Cancer - including Deep Learning Perspectives

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Caisa Kjellström; [2023]
    Keywords : Medicine and Health Sciences;

    Abstract : Purpose: The purpose of this master thesis was to retrospectively investigate correlation between surface and tumour motion in lung cancer patients, alongside deep learning applications of the results. Additional correlations such as age, tumour volume and anatomical placement of the tumour were also investigated. READ MORE

  4. 3. Gene Biomarker Identification by Distinguishing Between Small-Cell and Non-Small Cell Lung Cancer Through a Module-Based Approach

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Noor Haval Jamal; [2023]
    Keywords : ;

    Abstract : Lung cancer is the leading cause of cancer-related deaths worldwide and is divided into two broad histological types, small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). Network module-based approach is applied to lung cancer subtypes in order to analyze and compare the results with previous literature and thus discover new genetic biomarkers and/or confirm previously discovered ones. READ MORE

  5. 4. Segmentation of x-ray images using deep learning trained on synthetic data

    University essay from KTH/Fysik

    Author : Marcus Larsson; [2023]
    Keywords : Radiography; Deep Learning; Synthetic Data; Segmentation; Röntgen; Djupinlärning; Syntetisk Data; Segmentering;

    Abstract : Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration of Artificial Intelligence (AI) holds promise in enhancing image quality and assisting radiologists in their diagnostic processes. READ MORE

  6. 5. Classification of imbalanced disparate medical data using ontology

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

    Author : Ludvig Karlsson; Gustav Wilhelm Kopp Sundin; [2023]
    Keywords : Ontology; machine learning; random forest; imbalanced data; oncology; digital transformation;

    Abstract : Through the digitization of healthcare, large volumes of data are generated and stored in healthcare operations. Today, a multitude of platforms and digital infrastructures are used for storage and management of data. The systems lack a common ontology which limits the interoperability between datasets. READ MORE