Essays about: "Gleason grading"

Showing result 1 - 5 of 8 essays containing the words Gleason grading.

  1. 1. Towards non-invasive Gleason grading of prostate cancer using diffusion weighted MRI

    University essay from Umeå universitet/Institutionen för fysik

    Author : Pierre Hillergren; [2020]
    Keywords : ;

    Abstract : Prostate cancer is one of the most common cancer diagnosis in men. This project aimed to help in characterization and treatment planning of prostate cancer by producing a Gleason grading probability based on apparent diffusion coefficient (ADC). READ MORE

  3. 2. Classification of High Risk Prostate Cancer using Deep Learning

    University essay from Lunds universitet/Matematik LTH

    Author : Elin Olofsson; [2019]
    Keywords : Prostate Cancer; CNN; Deep Learning; PRIAS; Active Surveillance; Digital Pathology; Mathematics and Statistics;

    Abstract : Prostate cancer is one of the most common types of cancer for men, making proper diagnostic essential. Using machine learning as a tool to help in digital pathology has become increasingly popular and helps to limit the high intra observer variability between pathologists. READ MORE

  4. 3. Generative Adversarial Networks to enhance decision support in digital pathology

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Alessia De Biase; [2019]
    Keywords : Generative Adversarial Networks; Digital Pathology; CycleGAN; Style Transfer;

    Abstract : Histopathological evaluation and Gleason grading on Hematoxylin and Eosin(H&E) stained specimens is the clinical standard in grading prostate cancer. Recently, deep learning models have been trained to assist pathologists in detecting prostate cancer. READ MORE

  5. 4. Automatic Gleason Classification of Prostate Cancer - Classification of Small Regions

    University essay from Lunds universitet/Matematik LTH

    Author : Kasper Tall; [2018]
    Keywords : Prostate cancer; Gleason grading; CNN; Inception; ResNet; Inception-ResNet; Technology and Engineering;

    Abstract : Purpose: To classify the severity of a case of prostate cancer, physicians use the 10-grade Gleason score. The purpose of this Master’s thesis is to study how small dimensions of image crops affect the Gleason 5-classification capability of a machine learning system. READ MORE

  6. 5. Rotational Invariant Convolutional Neural Networks for Prostate Cancer Classification

    University essay from Lunds universitet/Matematik LTH

    Author : Joel Ekelund; [2017]
    Keywords : Convolutional Neural Networks; rotation invariance; deep learning; automated Gleason grading; Mathematics and Statistics;

    Abstract : Prostate cancer was in 2012 the second most common type of cancer for males globally. To be able to treat prostate cancer in the most effective way it is important to know how aggressive the cancer is. This aggressiveness is graded using the Gleason score. READ MORE