[HTML][HTML] Methods for evaluating fracture patterns of polycrystalline materials based on the parameter analysis of ductile separation dimples: A review

P Maruschak, I Konovalenko, A Sorochak - Engineering Failure Analysis, 2023 - Elsevier
Literature sources have been reviewed, various techniques, methods and software for
investigating fracture of polycrystalline materials have been subjected to the systematic …

Transformer-based deep learning network for tooth segmentation on panoramic radiographs

C Sheng, L Wang, Z Huang, T Wang, Y Guo… - Journal of systems …, 2023 - Springer
Panoramic radiographs can assist dentist to quickly evaluate patients' overall oral health
status. The accurate detection and localization of tooth tissue on panoramic radiographs is …

Computer vision methods for the microstructural analysis of materials: the state-of-the-art and future perspectives

K Alrfou, A Kordijazi, T Zhao - arXiv preprint arXiv:2208.04149, 2022 - arxiv.org
Finding quantitative descriptors representing the microstructural features of a given material
is an ongoing research area in the paradigm of Materials-by-Design. Historically …

Branch identification and junction points location for apple trees based on deep learning

S Tong, Y Yue, W Li, Y Wang, F Kang, C Feng - Remote Sensing, 2022 - mdpi.com
Branch identification is key to the robotic pruning system for apple trees. High identification
accuracy and the positioning of junction points between branch and trunk are important …

An improved method of polyp detection using custom YOLOv4-tiny

M Doniyorjon, R Madinakhon, M Shakhnoza, YI Cho - Applied Sciences, 2022 - mdpi.com
Automatic detection of Wireless Endoscopic Images can avoid dangerous possible diseases
such as cancers. Therefore, a number of articles have been published on different methods …

Feature reused network: a fast segmentation network model for strip steel surfaces defects based on feature reused

Q Feng, F Li, H Li, X Liu, J Fei, S Xu, C Lu, Q Yang - The Visual Computer, 2024 - Springer
The strip steel is a common metallic material with a wide range of applications in various
industries. However, the issue of surface defects that possess high concealment and low …

[HTML][HTML] Transformer guided self-adaptive network for multi-scale skin lesion image segmentation

C Xin, Z Liu, Y Ma, D Wang, J Zhang, L Li… - Computers in Biology …, 2024 - Elsevier
Background In recent years, skin lesion has become a major public health concern, and the
diagnosis and management of skin lesions depend heavily on the correct segmentation of …

Deep learning based initial crack size measurements utilizing macroscale fracture surface segmentation

J Rosenberger, J Tlatlik, S Münstermann - Engineering Fracture Mechanics, 2023 - Elsevier
To this date the safety assessment of materials, used for example in the nuclear power
sector, commonly relies on a fracture mechanical analysis utilizing macroscopic concepts …

Relevant input data for crack feature segmentation with deep learning on SEM imagery and topography data

L Schmies, M Hemmleb, D Bettge - Engineering Failure Analysis, 2024 - Elsevier
Fractography plays a critical role in failure analysis of engineering components and has a
considerable importance for safety investigations. Usually, the interpretation of fracture …

CPF-UNet: A Dual-Path U-Net Structure for Semantic Segmentation of Panoramic Surround-View Images

Q Sun, F Qu - Applied Sciences, 2024 - mdpi.com
In this study, we propose a dual-stream UNet neural network architecture design named
CPF-UNet, specifically designed for efficient semantic pixel-level segmentation tasks. This …