Essays about: "automated Gleason grading"

Found 3 essays containing the words automated Gleason grading.

  1. 1. 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

  2. 2. 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

  3. 3. 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