Essays about: "Gleason Problem"

Showing result 1 - 5 of 7 essays containing the words Gleason Problem.

  1. 1. Solving the Gleason Problem using Partition of Unity

    University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

    Author : Amalia Adlerteg; [2023]
    Keywords : Gleason Problem; Partition of Unity;

    Abstract : The Gleason problem has been proven to be a complicated issue to tackle. In this thesiswe will conclude that a domain, Ω ⊂ R𝑛, has Gleason 𝑅-property at any point 𝑝∈ Ω, where 𝑅(Ω) ⊂ 𝐶∞(Ω) is the ring of functions that are real analytic in 𝑝. First, we investigate function spaces and give them fitting norms. 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. 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

  5. 4. Prostate Cancer Classification using Convolutional Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Anna Gummeson; [2016]
    Keywords : automated Gleason grading; prostate cancer classification; deep learning; Convolutional Neural Networks; Artificial Neural Networks; CNN; ANN; Mathematics and Statistics;

    Abstract : In 2012 prostate cancer was the second most common cancer diagnose for men. The diagnosis is confirmed by pathologists doing ocular inspection of prostate biopsies and the specimens are classified according to the Gleason grading system. The main goal of this thesis is to automate the classification using Convolutional Neural Networks (CNN). READ MORE

  6. 5. Recognizing Microscopic Structures: Dense Semantic Segmentation of Multiple Histopathological Classes using Fully Convolutional Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Johan Isaksson; [2016]
    Keywords : segmentation; semantic segmentation; dense semantic segmentation; multiple classes; pathology; digital pathology; histopathology; histopathological; prostate cancer; gleason; gleason grading; gleason scoring; image analysis; machine learning; deep learning; artificial neural networks; ANN; convolutional neural networks; CNN; fully convolutional neural networks; Digital Pathology for Optimized Gleason Score in Prostate Cancer; DOGS; Mathematics and Statistics; Medicine and Health Sciences;

    Abstract : In order to alleviate the financial burden on the healthcare sector as well as relax its employees’ workload, there is a need to introduce novel tools that automate some of the tasks that today are performed manually. Especially pathology poses a problem with few pathologists, demanding manual labour and unnecessary work on benign tissue. READ MORE