Essays about: "Digital Pathology for Optimized Gleason Score in Prostate Cancer"

Found 1 essay containing the words Digital Pathology for Optimized Gleason Score in Prostate Cancer.

  1. 1. 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