Sökning: "automated Gleason grading"
Hittade 3 uppsatser innehållade orden automated Gleason grading.
1. Rotational Invariant Convolutional Neural Networks for Prostate Cancer Classification
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 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. LÄS MER
2. Prostate Cancer Classification using Convolutional Neural Networks
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 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). LÄS MER
3. Recognizing Microscopic Structures: Dense Semantic Segmentation of Multiple Histopathological Classes using Fully Convolutional Neural Networks
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 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. LÄS MER