Essays about: "breast cancer convolutional neural network"

Showing result 1 - 5 of 12 essays containing the words breast cancer convolutional neural network.

  1. 1. Evaluating CNN Architectures on the CSAW-M Dataset

    University essay from KTH/Datavetenskap

    Author : Ludwig Kristoffersson; Noa Zetterman; [2022]
    Keywords : CNN; Convolutional Neural Network; Transfer Learning; Breast Cancer; Bachelor’s Thesis; CNN; Konvolutionella Neurala Nätverk; Transfer Learning; Bröstcancer; Kandidat examensarbete;

    Abstract : CSAW-M is a dataset that contains about 10 000 x-ray images created from mammograms. Mammograms are used to identify patients with breast cancer through a screening process with the goal of catching cancer tumours early. READ MORE

  3. 2. A First Step Towards an Algorithm for Breast Cancer Reoperation Prediction Using Machine Learning and Mammographic Images

    University essay from Lunds universitet/Matematik LTH

    Author : Emma Jönsson; [2022]
    Keywords : Technology and Engineering;

    Abstract : Cancer is the second leading cause of death worldwide and 30% of all cancer cases among women are breast cancer. A popular treatment is breast-conserving surgery, where only a part of the breast is surgically removed. Surgery is expensive and has a significant impact on the body, and on some women, a reoperation is needed. READ MORE

  4. 3. Gene Expression Guided Distance Metric Learning for Breast Cancer Whole Slide Image Analysis

    University essay from Lunds universitet/Matematik LTH

    Author : Kajsa Ledesma Eriksson; [2022]
    Keywords : Whole Slide Image; Breast Cancer; Histopathology; Deep Metric Learning; Deep Learning; Image Analysis; Mathematics and Statistics;

    Abstract : Female breast cancer is a complex and heterogeneous disease that accounts for most of the deaths caused by cancer in women worldwide. To stratify breast cancer patients into treatment groups is a challenging task, and in recent years, analysis of the genes active in the tumour has been used in the decision of cancer therapy. READ MORE

  5. 4. Finding Corresponding Regions In Different Mammography Projections Using Convolutional Neural Networks

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Emil Eriksson; [2022]
    Keywords : Machine Learning; Convolutional Neural Network; U-net; Mammography; Corresponding Regions; MLO and CC; Medical Image Processing;

    Abstract : Mammography screenings are performed regularly on women in order to detect early signs of breast cancer, which is the most common form of cancer. During an exam, X-ray images (called mammograms) are taken from two different angles and reviewed by a radiologist. READ MORE

  6. 5. Preoperative prediction of sentinel nodal status using mammography images

    University essay from Lunds universitet/Matematisk statistik

    Author : Malin Hjärtström; Maren Høibø; [2021]
    Keywords : Mathematics and Statistics;

    Abstract : Breast cancer is the most common cancer among women in Sweden, accounting for approximately 30 % of the cancer cases. The overall prognosis is good, but worsens if the cancer metastasizes from the primary tumor. READ MORE