Essays about: "Digital Pathology"

Showing result 1 - 5 of 6 essays containing the words Digital Pathology.

  1. 1. 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

  2. 2. 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

  3. 3. Pixel-Based Algorithms for Data Analysis in Digital Pathology : Data Analysis of the BOMI2 Redox Dataset, A Step Away From Cell Segmentation Dependant Methods

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Michael Wallgren Fjellander; [2019]
    Keywords : Digital Pathology; Image Analysis; Algorithms; Cell Segmentation; Pixel-based Methods; Cancer; Knee Point;

    Abstract : In this project report a novel pixel-based approach to digital pathology is proposed. The algorithm directly decides the class of single pixels in an image without needing the larger context of neighbouring pixels. READ MORE

  4. 4. Enhanced Display of Mitoses in Hematoxylin-Eosin Digital Pathology Images

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : John Heerfordt Sjökvist; [2016]
    Keywords : Digital Pathology; Cancer; Mitosis; Mitotic Figure; Contrast Limited Adaptive Histogram Equalization; Unsharp Masking; Local Laplacian filters; L*a*b*; HSV; Colour Deconvolution; Biology and Life Sciences; Technology and Engineering;

    Abstract : Identifying mitotic figures in digital pathology images is useful in diagnosis and prognosis of cancer. The task itself is time consuming and sometimes difficult for pathologists. Recent research has focused on machine learning for automatic detection of mitoses. READ MORE

  5. 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