Mass Detection and Segmentation in Digital Breast Tomosynthesis Using 3D-Mask Region-Based Convolutional Neural Network: A Comparative Analysis
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Molecular Biosciences"
DOI: 10.3389/fmolb.2020.599333
Abstract: Digital breast tomosynthesis (DBT) is an emerging breast cancer screening and diagnostic modality that uses quasi-three-dimensional breast images to provide detailed assessments of the dense tissue within the breast. In this study, a framework of… read more here.
Keywords: mask rcnn; rcnn; mass detection; breast ... See more keywords
Accurate segmentation of green fruit based on optimized mask RCNN application in complex orchard
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.955256
Abstract: Fruit and vegetable picking robots are affected by the complex orchard environment, resulting in poor recognition and segmentation of target fruits by the vision system. The orchard environment is complex and changeable. For example, the… read more here.
Keywords: complex orchard; mask rcnn; segmentation; optimized mask ... See more keywords
An Improved Mask RCNN Model for Segmentation of ‘Kyoho’ (Vitis labruscana) Grape Bunch and Detection of Its Maturity Level
Sign Up to like & getrecommendations! Published in 2023 at "Agriculture"
DOI: 10.3390/agriculture13040914
Abstract: The ‘Kyoho’ (Vitis labruscana) grape is one of the mainly fresh fruits; it is important to accurately segment the grape bunch and to detect its maturity level for the construction of an intelligent grape orchard.… read more here.
Keywords: grape; maturity level; model; mask rcnn ... See more keywords