Research graph
References from The segmentation and intelligent recognition of structural surfaces in borehole images based on the U2-Net network. Local targets link to admitted publications; unresolved targets remain external evidence.
Generalized crack initiation and crack damage stress thresholds of brittle rock masses near underground excavations
10.1016/j.ijrmms.2004.02.001 · 2004 · External reference
Deformation and fracturing behaviour of discontinuous rock mass and damage mechanics theory
10.1002/nag.1610120102 · 1988 · External reference
A review of mechanical properties and constitutive theory of rock mass anisotropy
2020 · External reference
Implementation of probabilistic approach to rock mass strength estimation while excavating through fault zones
2019 · External reference
A new generation of the IMAGIC image processing system
10.1006/jsbi.1996.0004 · 1996 · External reference
A survey of image classification methods and techniques for improving classification performance
10.1080/01431160600746456 · 2007 · External reference
Using convolutional neural networks for image recognition
2015 · External reference
10.1201/9780203910962
10.1201/9780203910962 · 2002 · External reference
Image processing with neural networks—a review
10.1016/s0031-3203(01)00178-9 · 2002 · External reference
Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research
10.1016/s0731-7085(99)00272-1 · 2000 · External reference
Study of a borehole panoramic stereopair imaging system
10.1016/j.ijrmms.2018.01.040 · 2018 · External reference
Recognition of structural planes in borehole image based on characteristic function
2017 · External reference
BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives
10.1016/j.tust.2020.103677 · 2021 · External reference
DeepVarveNet: Automatic detection of glacial varves with deep neural networks
10.1016/j.cageo.2020.104584 · 2020 · External reference
U2-Net: Going deeper with nested U-structure for salient object detection
10.1016/j.patcog.2020.107404 · 2020 · External reference
Segmentation and recognition of breast ultrasound images based on an expanded U-Net
10.1371/journal.pone.0253202 · 2021 · External reference
BC-DUnet-based segmentation of fine cracks in bridges under a complex background
10.1371/journal.pone.0265258 · 2022 · External reference
MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams
10.1371/journal.pone.0269449 · 2022 · External reference
10.1109/bibm55620.2022.9995424
10.1109/bibm55620.2022.9995424 · External reference
Image segmentation and flow prediction of digital rock with U-net network
10.1016/j.advwatres.2023.104384 · 2023 · External reference
Automatic quadriceps and patellae segmentation of MRI with cascaded U2‐Net and SASSNet deep learning model
10.1002/mp.15335 · 2022 · External reference
U2-Net for DEEPOLE QUASAR–A physics-informed deep convolutional neural network that disentangles MRI phase contrast mechanisms
2019 · External reference
10.1117/12.2668116
10.1117/12.2668116 · External reference
10.1007/978-981-19-3394-3_29
10.1007/978-981-19-3394-3_29 · 2022 · External reference
