Using the U‐net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images
Sign Up to like & getrecommendations! Published in 2019 at "Remote Sensing in Ecology and Conservation"
DOI: 10.1002/rse2.111
Abstract: Using the U-net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images Fabien H. Wagner, Alber Sanchez, Yuliya Tarabalka, Rodolfo G. Lotte, Matheus P. Ferreira, Marcos P.… read more here.
Keywords: using net; convolutional network; network map; map forest ... See more keywords
AF-Net: A Convolutional Neural Network Approach to Phase Detection Autofocus
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2947349
Abstract: It is important for an autofocus system to accurately and quickly find the in-focus lens position so that sharp images can be captured without human intervention. Phase detectors have been embedded in image sensors to… read more here.
Keywords: neural network; model; net convolutional; convolutional neural ... See more keywords
Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2022.937891
Abstract: Objective To explore the feasibility of a deep learning three-dimensional (3D) V-Net convolutional neural network to construct high-resolution computed tomography (HRCT)-based auditory ossicle structure recognition and segmentation models. Methods The temporal bone HRCT images of… read more here.
Keywords: neural network; convolutional neural; segmentation; deep learning ... See more keywords