Results 71 to 80 of about 36,113 (246)

Malignant Melanoma Classification using GLCM and SVM

International Journal of Scientific Research in Science and Technology, 2022
In today’s modern world, Skin cancer is the most common cause of death amongst humans. Skin cancer is abnormal growth of skin cells most often develops on body exposed to the sunlight, but can occur anywhere on the body. Most of the skin cancers are curable at early stages.
null Shweta M Madiwal, null Vishwanath Burkpalli   +1 more
openaire   +1 more source

Texture analysis of CT colonography to develop a novel imaging biomarker for the management of colorectal cancer

Annals of Gastroenterological Surgery
Background Recent studies have focused on evaluating the biomarker value of textural features in radiological images. Our study investigated whether or not a texture analysis of computed tomographic colonography (CTC) images could be a novel biomarker ...
Hisashi Mamiya, Toru Tochigi, Koichi Hayano, Gaku Ohira, Shunsuke Imanishi, Tetsuro Maruyama, Yoshihiro Kurata, Yumiko Takahashi, Atsushi Hirata, Hisahiro Matsubara   +9 more
doaj   +1 more source

Analysis of GLCM Parameters for Textures Classification on UMD Database Images [PDF]

, 2015
Texture analysis is one of the most important techniques that have been used in image processing for many purposes, including image classification. The texture determines the region of a given gray level image, and reflects its relevant information ...
Lu, Joan, Mohamed, Alsadegh Saleh Saied
core  

Universal in vivo Textural Model for Human Skin based on Optical Coherence Tomograms

, 2017
Currently, diagnosis of skin diseases is based primarily on visual pattern recognition skills and expertise of the physician observing the lesion. Even though dermatologists are trained to recognize patterns of morphology, it is still a subjective visual
Adabi, Saba, Clayton, Anne, Conforto, Silvia, Daveluy, Steven, Hosseinzadeh, Matin, Mehregan, Darius, Nasiriavanaki, Mohammadreza, Noei, Shahryar   +7 more
core   +2 more sources

Incidence of rough and irregular atmospheric ice particles from Small Ice Detector 3 measurements [PDF]

, 2013
NERC, NE/E011225/1 © Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 LicenseThe knowledge of properties of ice crystals such as size, shape, concavity and roughness is critical in the context of radiative properties of
Collier, Christopher T., Cotton, Richard J., Greenaway, Richard, Hesse, Evelyn, Hirst, Edwin, Kaye, Paul H., Ulanowski, Zbigniew   +6 more
core   +1 more source

Improvements to a GLCM‐based machine‐learning approach for quantifying posterior capsule opacification

Journal of Applied Clinical Medical Physics
Background Posterior capsular opacification (PCO) is a common complication following cataract surgery that leads to visual disturbances and decreased quality of vision. The aim of our study was to employ a machine‐learning methodology to characterize and
Chang Liu, Ying Hu, Yan Chen, Jian Fang, Ruhan Liu, Lei Bi, Xunan Tan, Bin Sheng, Qiang Wu   +8 more
semanticscholar   +1 more source

Feature extraction Hue, Saturation, Value (HSV) and Gray Level Cooccurrence Matrix (GLCM) for identification of woven fabric motifs in South Central Timor Regency

Journal of Physics: Conference Series, 2021
South Central Timor (TTS) is one of the districts that has a weaving culture and also produces woven cloth in East Nusa Tenggara. The many types of woven fabric from each TTS tribe makes outsiders and even native TTS people do not recognize the typical ...
F. S. Lesiangi, A. Mauko, B. S. Djahi
semanticscholar   +1 more source

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

Advanced Science, EarlyView.
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

Exploration of PET and MRI radiomic features for decoding breast cancer phenotypes and prognosis. [PDF]

, 2018
Radiomics is an emerging technology for imaging biomarker discovery and disease-specific personalized treatment management. This paper aims to determine the benefit of using multi-modality radiomics data from PET and MR images in the characterization ...
Arasu, Vignesh A, Behr, Spencer C, Copeland, Timothy P, Esserman, Laura, Franc, Benjamin L, Harnish, Roy J, Huang, Shih-Ying, Hylton, Nola M, Jones, Ella F, Kornak, John, Liu, Gengbo, Mitra, Debasis, Price, Elissa R, Seo, Youngho   +13 more
core  

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source