Results 81 to 90 of about 26,874 (197)

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Characterization of Structural Building Damage in Post-Disaster Using GLCM-PCA Analysis Integration

IEEE Access
Objective: To determine the characteristics of a building after a natural disaster using image input through the integration of image analysis techniques. Methods: Several image analysis techniques, including GLCM and PCA, were employed. The GLCM process
Agung Teguh Wibowo Almais, Adi Susilo, Agus Naba, Moechammad Sarosa, Alamsyah Muhammad Juwono, Cahyo Crysdian, Muhammad Aziz Muslim, Hendro Wicaksono   +7 more
doaj   +1 more source

Transferability of radiomics models between deep learning and conventional CT reconstruction algorithms: A task‐based assessment for stratifying acute pancreatitis severity

Journal of Applied Clinical Medical Physics, Volume 27, Issue 4, April 2026.
Abstract Background Extensive evidence has demonstrated the superior image quality achieved through deep learning‐based reconstruction algorithms. However, given their growing adoption in clinical imaging, the impact of these algorithms on radiomics model development warrants thorough investigation.
Xiaobao Hu, Xiao Liang, Zhongren Huang, Yanyan Zhu, Mengya Guo, Zhihua Wu, Fuqing Zhou   +6 more
wiley   +1 more source

The Role of the Superior Order GLCM in the Characterization and Recognition of the Liver Tumors from Ultrasound Images [PDF]

, 2012
The hepatocellular carcinoma (HCC) is the most frequent malignant liver tumor. It often has a similar visual aspect with the cirrhotic parenchyma on which it evolves and with the benign liver tumors.
Badea, R., Mitrea, D., Nedevschi, S., Socaciu, M.   +3 more
core   +1 more source

Segregated Handwritten Character Recognition using GLCM features

International Journal of Computer Applications, 2013
Handwritten document recognition is an area of pattern recognition that has been showing impressive performance in the machine printed text. Handwritten document recognition is an intricate task to various writing styles of individual person. The system first identifies the contour in a handwritten document for segmentation and features are extracted ...
M. Kalaiselvi Geetha, V. C.Bharathi
openaire   +1 more source

Impact of partial volume correction on radiomics reproducibility in theranostic SPECT/CT imaging

Medical Physics, Volume 53, Issue 4, April 2026.
Abstract Background: Radiomics has shown potential for quantitative characterization of tumors in molecular imaging; however, its clinical translation in theranostic 177Lu SPECT/CT remains limited due to poor robustness of extracted features to reconstruction variability and partial volume effects.
Mohammad Saber Azimi, Maryam Cheraghi, Mohammad Ali Ghodsi Rad, Mohadeseh Bayat, Maryam Alhashim, Habibollah Dadgar, Mahmoud Alabedi, Nahid Ibrahim, Enas Alwuhaib, Hossein Arabi, Arman Rahmim, Habib Zaidi   +11 more
wiley   +1 more source

Lithostratigraphic Classification Method Combining Optimal Texture Window Size Selection and Test Sample Purification Using Landsat 8 OLI Data

Open Geosciences, 2018
Gray Level Co-Occurrence Matrix (GLCM), as a measure of spatial features has been used as supplemental information to improve image classification accuracy for lithological recognition.
Qiu Yufang, Ming Dongping
doaj   +1 more source

An efficient implementation of GLCM algorithm in FPGA [PDF]

2018 International Conference on Internet of Things, Embedded Systems and Communications (IINTEC), 2018
This paper presents hardware (HW) architecture for fast parallel computation of Gray Level Co-occurrence Matrix (GLCM) in high throughput image analysis applications. GLCM has proven to be a powerful basis for use in texture classification. Various textural parameters calculated from the GLCM help understand the details about the overall image content.
Atitallah, M, Kachouri, Rostom, Mnif, H., Kammoun, M   +3 more
openaire   +2 more sources

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

Advanced Science, Volume 13, Issue 14, 9 March 2026.
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao, Jiakang Shao, Quanzhi Li, Yizhou Tan, Liangliang Huang, Xiaorong Xu, Ji Qi, Julin Xiao, Wenwen Li, Zhong Wen, Le Wang, Xu Liu, Qing Yang, Ying Gu   +13 more
wiley   +1 more source

Quasi Opposition–Based Learning With Artificial Rabbit Optimization for Feature Selection of Breast Cancer

Engineering Reports, Volume 8, Issue 3, March 2026.
Workflow of proposed QOBL‐ARO with GS‐SVM method for BC using mammogram images. ABSTRACT Mammogram images are the most appropriate modality for breast cancer (BC) diagnosis which supports early diagnosis in women. However, the handcrafted features are insufficient for effective BC classification, which negatively impacts the model's accuracy and leads ...
Bassamma Patil, P. Vishwanath, S. M. Anowarul Haque   +2 more
wiley   +1 more source