[HTML][HTML] Progress on deep learning in digital pathology of breast cancer: a narrative review

J Zhu, M Liu, X Li - Gland surgery, 2022 - ncbi.nlm.nih.gov
Methods A PubMed search with keywords (“breast neoplasm” or “breast cancer”) and
(“pathology” or “histopathology”) and (“artificial intelligence” or “deep learning”) was …

Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open-Access Papers

N Hütten, M Alves Gomes, F Hölken… - Applied System …, 2024 - mdpi.com
Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …

[HTML][HTML] The application of fully unmanned robotic systems for inspection of subsea pipelines

AG Rumson - Ocean Engineering, 2021 - Elsevier
This paper focuses on recent innovations in the methods used for external remote subsea
pipeline inspection. An unmanned method is revealed, in which an Autonomous Underwater …

[HTML][HTML] A transfer learning-based YOLO network for sewer defect detection in comparison to classic object detection methods

Z Situ, S Teng, W Feng, Q Zhong, G Chen, J Su… - Developments in the …, 2023 - Elsevier
Deep learning has shown promising performance in automated sewer defect detection,
however, is generally data-driven and computationally intensive. Transfer learning (TL) …

YOLO-submarine cable: an improved YOLO-V3 network for object detection on submarine cable images

Y Li, X Zhang, Z Shen - Journal of Marine Science and Engineering, 2022 - mdpi.com
Due to the strain on land resources, marine energy development is expanding, in which the
submarine cable occupies an important position. Therefore, periodic inspections of …

[HTML][HTML] CNN-based automated approach to crack-feature detection in steam cycle components

Z Fei, GM West, P Murray, G Dobie - International Journal of Pressure …, 2024 - Elsevier
Periodic manual inspection by trained specialists is an important element of asset
management in the nuclear industry. Detection of cracks caused by stress corrosion is an …

Advances in the application of computational pathology in diagnosis, immunomicroenvironment recognition, and immunotherapy evaluation of breast cancer: A …

J Luo, X Li, KL Wei, G Chen, DD Xiong - Journal of Cancer Research and …, 2023 - Springer
Background Breast cancer (BC) is a prevalent and highly lethal malignancy affecting women
worldwide. Immunotherapy has emerged as a promising therapeutic strategy for BC, offering …

A comparison of the performance of 2D and 3D convolutional neural networks for subsea survey video classification

A Stamoulakatos, J Cardona, C Michie… - OCEANS 2021: San …, 2021 - ieeexplore.ieee.org
Utilising deep learning image classification to automatically annotate subsea pipeline video
surveys can facilitate the tedious and labour-intensive process, resulting in significant time …

Event Classification on Subsea Pipeline Inspection Data Using an Ensemble of Deep Learning Classifiers

T Dang, TT Nguyen, AWC Liew, E Elyan - Cognitive Computation, 2025 - Springer
Subsea pipelines are the backbone of the modern oil and gas industry, transporting a total of
28% of global oil production. Due to several factors, such as corrosion or deformations, the …

Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review

N Mohammad Fadzil, MF Muda… - Ships and Offshore …, 2024 - Taylor & Francis
Offshore pipelines face severe environmental and operational challenges, leading to
deterioration issues like corrosion and fatigue cracking. Such degradation risks casualties …