Suggested Topics within your search.
Suggested Topics within your search.
-
681
-
682
Assessment of forest change in a rural district using satellite imagery: A case study in Loc Ninh, Binh Phuoc Province, Vietnam
Published 2024-07-01“…The study used Landsat 5 TM and Landsat 8 OLI images and processed them using ENVI 4.7 and ArcGIS Desktop 10.7 software to create forest distribution maps for the periods 2000, 2010, and 2020. …”
Get full text
Article -
683
-
684
-
685
High responsivity colloidal quantum dots phototransistors for low-dose near-infrared photodetection and image communication
Published 2025-05-01“…Abstract The surging demand and adoption of infrared photodetectors (IRPDs) in sectors of imaging, mobile, healthcare, automobiles, and optical communication are hindered by the prohibitive costs of traditional IRPD materials such as InGaAs and HgCdTe. …”
Get full text
Article -
686
Imaging and Modeling the Impact of Multi‐Scale Pore Connectivity on Two‐Phase Flow in Mixed‐Wet Rock
Published 2023-07-01“…The pore‐scale fluid distributions during this process were imaged by laboratory‐based X‐ray micro‐computed tomography (micro‐CT). …”
Get full text
Article -
687
Encapsulation of Metal Nanoparticles by Metal–Organic Framework Imaged with In Situ Liquid Phase Transmission Electron Microscopy
Published 2025-07-01“…This approach, which uses a very low electron flux to image the synthesis of Au@ZIF‐8 nanostructures, can be extended to imaging crucial processes in many other beam‐sensitive materials and help design hybrid systems for a broad range of applications.…”
Get full text
Article -
688
Intraoperative ICG-Fluorescence Imaging of Lymph Nodes in Robot-Assisted Radical Cystectomy in Patients with Bladder Cancer
Published 2023-04-01“…Intraoperative imaging using indocyanine green now appears to be a contemporary and relevant method for intraoperative imaging of sentinel lymph nodes. …”
Get full text
Article -
689
Magnetic resonance imaging in cervical cancer: current opportunities of radiomics analysis and prospects for its further developmen
Published 2023-09-01“…The complexity of clinically evaluated tumor procession in cervical cancer (CC) accounts for a need to expand knowledge on applying medical imaging technologies in oncologic diagnostics spanning from predominantly qualitative analysis to a multiparametric approach, including a quantitative assessment of study parameters.Aim: to analyze the literature data on the use of radiomics and image texture analysis in diagnostics and prediction of aggressiveness of oncogynecological diseases including СС.Materials and Methods. …”
Get full text
Article -
690
Classification of Arrhythmias Using a Pre-trained Deep Learning Model with Binary Images of Segmented ECG
Published 2023-05-01“…The introduction of an automated classification of arrhythmias based on deep learning could facilitate the decision-making process by saving time and labor resources.Aim. To study the performance of a modified arrhythmia classification improved by using binary images of segmented ECG signals with combinations of orthogonal and surface signals.Materials and methods. …”
Get full text
Article -
691
Contrast-enhanced Micro-CT imaging of a foetal female pelvic floor reveals anatomical details.
Published 2025-01-01“…<h4>Materials and methods</h4>A human foetal pelvis of 20-21 weeks gestational age, formalin-fixed for 4 years, was immersed in Lugol solution and tomographically scanned periodically to document the staining process. …”
Get full text
Article -
692
-
693
Development of lesion and organ negative cast modelling technique for quality assurance and optimization of nuclear medicine images
Published 2025-07-01“…The high viscosity of the liquid plastic used in the casting process establishes non-uniform tumour models, which is very useful in practice for evaluating image features related to heterogeneity. …”
Get full text
Article -
694
An Efficient 3D Convolutional Neural Network for Dose Prediction in Cancer Radiotherapy from CT Images
Published 2025-01-01“…<b>Objectives</b>: The main objective of this study is to build a high-performance deep learning model for predicting radiation therapy doses for cancer and to develop software to easily manipulate and use this model. <b>Materials and Methods</b>: In this paper, we propose a custom 3D convolutional neural network model with a U-Net-based architecture to automatically predict radiation doses during cancer radiation therapy from CT images. …”
Get full text
Article -
695
Artificial intelligence in automatic image segmentation system for exploring recurrence patterns in small cell carcinoma of the lung
Published 2025-05-01“…Utilizing imaging recurrence data, this study applies a recursive feature elimination algorithm to model and predict patient prognoses, aiming to enhance clinical guidance and prediction accuracy.Materials and MethodsThis research analyzed data from SCLC patients who received curative radiotherapy from January 1, 2010, to December 30, 2021, and had comprehensive follow-up records including pre- and post-treatment imaging. …”
Get full text
Article -
696
Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran
Published 2020-12-01“…In the next step, the middle of the radar images of Scintil 1 was extracted in a period of time to use the desired bands. …”
Get full text
Article -
697
-
698
Associative Support in the Process of Learning Vocabulary of a Foreign Language: a Psycholinguistic Approach in Language Teaching
Published 2019-04-01“…Associative supports help the implementation of Association strategy in the process of memorizing a foreign word. It is suggested that if associative supports («keys» in terms of techniques) are offered at the same time with the introduction of a new verbal unit for its memorization, it will accelerate the capture of sound and graphic image of the word, ensure its introduction into long-term memory, enhance storage, simplify search and reproduction. …”
Get full text
Article -
699
Psychological and Linguistic Peculiarities of English Mastering by the Children of Young School Age in the Process of Associative Symbols Usage
Published 2020-04-01“…The process of new words and expressions learning with this method turns into fun and play. …”
Get full text
Article -
700
Nondestructive discrimination of advanced clones and cultivars of strawberry using an innovative approach involving image analysis and machine learning
Published 2025-04-01“…This study was aimed at distinguishing advanced clones and cultivars of strawberry using an innovative approach involving image processing and artificial intelligence. The raw material included the advanced clones and cultivars of strawberry, such as clone with the breeding code T-201457-16 (Grandarosa × Elsanta), clone T-201536-06 (Clery × Grandarosa), clone T-201567-01 (Patty × Panvik), as well as the cultivars Fibion, Grandarosa, and Markat. …”
Get full text
Article