Sökning: "Digital Pathology for Optimized Gleason Score in Prostate Cancer"
Hittade 1 uppsats innehållade orden Digital Pathology for Optimized Gleason Score in Prostate Cancer.
1. 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
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