Blar i Brage NMBU på emneord "Machine Learning"
Viser treff 1-4 av 4
-
Detection and quantification of rot in harvested trees using convolutional neural networks
(Master thesis, 2019)Root and Butt-Rot (RBR) is having a significant economic impact on the forest industry and is expected to increase with climate change. The current management strategies are becoming less effective, and little data on ... -
Predicting patient outcome using radioclinical features selected with RENT for patients with colorectal cancer
(Master thesis, 2022)Colorectal cancer remains a problem in medicine, costing countless lives each year. The growing amount of data available about these patients have piqued the interest of researchers, as they try to use machine learning to ... -
Road edge detection using hyperspectral and LiDAR data based on machine and deep learning
(Master thesis, 2020)The mapping and classification of urban areas play a crucial role in the planning of the city and monitoring of various natural hazards that could occur in the future. It is also necessary for evaluating large-scale changes ... -
Visualization of deep learning in auto-delineation of cancer tumors
(Master thesis, 2020)Purpose: The deoxys framework, developed by Huynh and is available at https://github. com/huynhngoc/deoxys/, has the final goal of creating a user-friendly software that helps radiologists with tumor delineation problems. ...