Essays about: "elakartad"

Showing result 1 - 5 of 14 essays containing the word elakartad.

  1. 1. Deep Learning Models for Detecting Breast Cancer : A Comparative Study

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

    Author : Charlotta Johnsson; Alva Välimäki; [2023]
    Keywords : ;

    Abstract : Breast cancer is the second leading cause of death for women worldwide. As early detection is vital, new methods for facilitating accurate diagnosis are continuously being developed. READ MORE

  3. 2. Feasibility of single time point dosimetry during 177Lu-PSMA-617 treatments of prostate cancer

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Elias Nilsson; [2022]
    Keywords : Medicine and Health Sciences;

    Abstract : Introduction: Standard dosimetry methods for radionuclide therapies re- quire imaging at multiple time points post injection. An alternative method has been presented in the literature that uses previously acquired pharma- cokinetic data to create so-called dose factors. READ MORE

  4. 3. För- och nackdelar med sambete mellan nötkreatur och får

    University essay from SLU/Dept. of Agricultural Research for Northern Sweden

    Author : Sanna Johansson; [2022]
    Keywords : sambete; nötkreatur; får; parasiter; elakartad katarralfeber; betesbeteende;

    Abstract : I denna litteraturstudie sammanställs och diskuteras vetenskapliga forskningsresultat rörande sambete mellan nötkreatur och får. Detta för att kunna se vilka fördelar eller nackdelar det finns som skulle kunna vara aktuella för den svenska köttproduktionen. READ MORE

  5. 4. Ensemble Learning Applied to Classification of Malignant and Benign Breast Cancer

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

    Author : Pierre Segerström; Felix Boltshauser; [2021]
    Keywords : ;

    Abstract : In this study, we show how ensemble learning can be useful for the future of breast cancer diagnosis. The chosen ensemble learning method was bagging, which made use of the classifiers Support Vector Machine (SVM), Decision Tree (DT) and Naive Bayes (NB) in order to classify mammograms as benign or malignant. READ MORE

  6. 5. Evaluation of Machine Learning classifiers for Breast Cancer Classification

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

    Author : Robin Dang; Anders Nilsson; [2020]
    Keywords : ;

    Abstract : Breast cancer is a common and fatal disease among women globally, where early detection is vital to improve the prognosis of patients. In today’s digital society, computers and complex algorithms can evaluate and diagnose diseases more efficiently and with greater certainty than experienced doctors. READ MORE