Automatic borehole fracture detection and characterization with tailored Faster R-CNN and simplified Hough transform

S Han, X Xiao, B Song, T Guan, Y Zhang… - Engineering Applications of …, 2023 - Elsevier
Understanding the geological information of fractures from borehole images is essential for
conducting a thorough geological analysis in engineering. Recently, the convolutional …

Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods

F Wahid, Y Ma, D Khan, M Aamir… - arXiv preprint arXiv …, 2024 - arxiv.org
Biomedical image segmentation plays a vital role in diagnosis of diseases across various
organs. Deep learning-based object detection methods are commonly used for such …

Deep learning approaches for breast cancer detection in histopathology images: A review

L Priya CV, B VG, V BR… - Cancer Biomarkers, 2024 - content.iospress.com
BACKGROUND: Breast cancer is one of the leading causes of death in women worldwide.
Histopathology analysis of breast tissue is an essential tool for diagnosing and staging …

Mitotic Nuclei Segmentation and Classification Using Chaotic Butterfly Optimization Algorithm with Deep Learning on Histopathology Images

R AlGhamdi - Biomimetics, 2023 - mdpi.com
Histopathological grading of the tumors provides insights about the patient's disease
conditions, and it also helps in customizing the treatment plans. Mitotic nuclei classification …

Enhanced Pelican Optimization Algorithm with Deep Learning-Driven Mitotic Nuclei Classification on Breast Histopathology Images

F Alrowais, FA Alotaibi, AQA Hassan, R Marzouk… - Biomimetics, 2023 - mdpi.com
Breast cancer (BC) is a prevalent disease worldwide, and accurate diagnoses are vital for
successful treatment. Histopathological (HI) inspection, particularly the detection of mitotic …

[HTML][HTML] Tcnn: A transformer convolutional neural network for artifact classification in whole slide images

A Shakarami, L Nicolè, M Terreran, AP Dei Tos… - … Signal Processing and …, 2023 - Elsevier
The production of pathological slides is a complex task requiring several physical and
chemical procedures that are often done manually. Occasionally, such procedures may end …

Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors

M van Rijthoven, S Obahor, F Pagliarulo… - Communications …, 2024 - nature.com
Abstract Background Tertiary lymphoid structures (TLSs) are dense accumulations of
lymphocytes in inflamed peripheral tissues, including cancer, and are associated with …

[HTML][HTML] Quantitative assessment of cement bridges and voids in cement-stabilized permeable base materials using a mask R-CNN-based CT image segmentation …

X Wang, Y Xiao, T Yang, M Wang, Y Chen, Z Li - Materials & Design, 2024 - Elsevier
Accurate extraction of aggregates, cement bridges, and voids in permeable cement-
stabilized base materials (PCBM) is a challenging task. This paper proposed a …

Acute exacerbation prediction of COPD based on Auto-metric graph neural network with inspiratory and expiratory chest CT images

S Wang, W Li, N Zeng, J Xu, Y Yang, X Deng, Z Chen… - Heliyon, 2024 - cell.com
Chronic obstructive pulmonary disease (COPD) is a widely prevalent disease with
significant mortality and disability rates and has become the third leading cause of death …

Single-stage object detector with attention mechanism for squamous cell carcinoma feature detection using histopathological images

S Prabhu, K Prasad, X Lu, A Robels-Kelly… - Multimedia Tools and …, 2024 - Springer
Squamous cell carcinoma is the most common type of cancer that occurs in squamous cells
of epithelial tissue. Histopathological evaluation of tissue samples is the gold standard …