Results 71 to 80 of about 17,818 (183)

Surface roughness prediction of machined components using gray level co-occurrence matrix and Bagging Tree [PDF]

FME Transactions, 2020
Surface Roughness of a machined component is crucial in identifying its functional capability when the manufactured specimen has metal to metal contact during operating condition since most wear and tear of the parts occurs due to friction between the ...
Patel Dhiren R., Thakker Harshit, Kiran M.B., Vakharia Vinay   +3 more
doaj  

Advancing collagen‐related pathology assessment through second‐harmonic generation imaging

Journal of Microscopy, EarlyView.
Abstract Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second‐harmonic generation (SHG) imaging has emerged as a powerful label‐free modality for assessing collagen. This offers submicron resolution, intrinsic optical sectioning, and deeper imaging capabilities without the need for ...
Jackson Rodrigues, Manikanth Karnati, Gagan Raju, Edwin Pious, Ankur Gogoi, Guan‐Yu Zhuo, Nirmal Mazumder, Fu‐Jen Kao   +7 more
wiley   +1 more source

Enhancing Texture-Based Image Retrieval using GLCM and DBSCAN on a Multifaceted Dataset [PDF]

, 2023
Texture based image retrieval is an important aspect of various computer vision applications. In our research, we have proposed a method to enhance texture based image retrieval by utilizing Gray Level Co-occurrence Matrix (GLCM) feature extraction and ...
Asyhari, Muhammad Rivaldi
core  

Lung Cancer Classification using Gray-Level Co-Occurrence Matrix Feature Extraction and Forward Selection Feature Selection based on the K-Nearest Neighbor Algorithm

Indonesian Journal of Applied Physics
In diagnosing lung cancer, the medical imaging team manually identifies CT-scan images of the lungs. This identification process makes it difficult for the medical imaging team to differentiate between lung cancer and normal images. This is because there
Soeparmi Soeparmi, Mohtar Yunianto, Lukmaniyah Rizky Amalia   +2 more
doaj   +1 more source

Radiomics Analysis for Predicting Medication‐Related Osteonecrosis of the Jaw Using Computed Tomography

Oral Diseases, EarlyView.
ABSTRACT Objectives To determine whether pretreatment radiomics can predict medication‐related osteonecrosis of the jaw (MRONJ). Methods Patients with mandibular MRONJ at Hiroshima University Hospital (2009–2024) who underwent MDCT before initiating bone resorption inhibitors were retrospectively identified. Records from 2009 to 2020 were also reviewed
Masaru Konishi
wiley   +1 more source

Ekstraksi Fitur Kupu-Kupu Menggunakan GLCM, Lacunarity, HSV, dan MLP [PDF]

Extraction feature in butterflies are using GLCM, Lacunarity, and HSV. The combination of extraction feature is to improve accuration of butterflies. In this research , there are three steps for extraction.
Andika, Yudi, Rahayu, Putri Nur, Annisa, Aulia Rahma, Ardiana, Mirza, Rakhmadi, Ardhon   +4 more
core   +1 more source

Classification of Rice Leaf Diseases Using Support Vector Machine with HSV and GLCM-Based Feature Extraction

Journal of Applied Informatics and Computing
This study aims to classify rice leaf diseases using the Support Vector Machine (SVM) algorithm based on image processing and feature extraction. A total of 600 rice leaf images were collected, each representing one of five disease types: bacterial ...
Rizal Ramli, Evanita Evanita, Aditya Akbar Riadi   +2 more
doaj   +1 more source

Artificial Intelligence‐Driven Precision Bisphosphonate Therapy in Osteoporosis: Mechanisms, Clinical Applications, Risks, and Future Directions

Orthopaedic Surgery, EarlyView.
This comprehensive review integrates 17 benchmark studies to illustrate the transition of osteoporosis management toward precision medicine. The schematic highlights three key clinical applications: AI‐driven opportunistic screening from routine CTs, precision pharmacotherapy selection, and the predictive prevention of adverse events like MRONJ ...
Xiang Yao, Yicong Chao, Xiao Gu, Jingtao Peng, Jishan Yuan, Wei Shi, Fuguo Zhang, Qiwen Bao   +7 more
wiley   +1 more source

Static and Dynamic Algorithms for Terrain Classification in UAV Aerial Imagery

Remote Sensing, 2019
The ability to precisely classify different types of terrain is extremely important for Unmanned Aerial Vehicles (UAVs). There are multiple situations in which terrain classification is fundamental for achieving a UAV’s mission success, such as ...
J. P. Matos-Carvalho, Filipe Moutinho, Ana Beatriz Salvado, Tiago Carrasqueira, Rogerio Campos-Rebelo, Dário Pedro, Luís Miguel Campos, José M. Fonseca, André Mora   +8 more
doaj   +1 more source

Guiding the AI revolution in periodontology and implant dentistry: Concepts, ethics, accountability, and a roadmap for sustainable adoption

Periodontology 2000, EarlyView.
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali, Negin Soghli, Patricia A. Miguez   +2 more
wiley   +1 more source