SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

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Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset by Asadi Srinivasulu, Clement Varaprasad Karu, G Sreenivasulu, Gayathri R

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Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging by Abigail Keogan, Thi Nguyet Que Nguyen, Pascaline Bouzy, Nicholas Stone, Karin Jirstrom, Arman Rahman, William M. Gallagher, Aidan D. Meade

“…In this study, Fourier-transform infrared (FTIR) chemical images of BC tissue were used to train deep learning models to predict future disease recurrence. …”
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Fluorescence molecular imaging-guided photodynamic therapy for early breast cancer in the prone position: Feasibility evaluation with Monte Carlo simulations by Yugo Minegishi, Yasutomo Nomura

Subjects: “…Fluorescence molecular imaging…”
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A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift by Yudong Zhang, Jiquan Yang, Jianfei Yang, Aijun Liu, Ping Sun

“…International Journal of Biomedical Imaging…”
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Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image by Abdelilah Et-taleby, Mohammed Boussetta, Mohamed Benslimane

“…Clustering or grouping is among the most important image processing methods that aim to split an image into different groups. …”
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A Novel Diagnostic Aid for Detection of Intra-Abdominal Adhesions to the Anterior Abdominal Wall Using Dynamic Magnetic Resonance Imaging by David Randall, John Fenner, Richard Gillott, Richard ten Broek, Chema Strik, Paul Spencer, Karna Dev Bardhan

“…The abdominal movement due to respiration is captured in sagittal dynamic MR images. Results. Clinical images were selected for analysis, including a patient with a surgically confirmed adhesion. …”
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Assessment of the Image Quality of Virtual Non-Contrast Dual-energy CT Liver Scans Using Both PSNR and SSIM Methods by Yaguang LI, Jie LI, Tingyu XUE, Jiankui MU, Qiang WANG, Lidong ZHENG, Yong WANG, Licun LEI

“…The purpose of this study was to investigate the feasibility of replacing true non-contrast (TNC) dual-energy computed tomography (DECT) images with virtual non-contrast (VNC) DECT images by comparing their quality on the basis of both the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM). …”
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New proposal for a multimodal imaging approach for the subclinical detection of hydroxychloroquine-induced retinal toxicity in patients with systemic lupus erythematosus by Ricard Cervera, Alfredo Adan, Gerard Espinosa, Jose Rios, Olga Araujo, José Hernández-Rodríguez, Laura Pelegrín, Ricardo P Casaroli-Marano, Halbert Hernández-Negrín, Marc Figueras-Roca, Vanesa Budi, Montse Morató

“…This study emphasises the importance of a multimodal imaging strategy to promptly detect signs of hydroxychloroquine-induced retinal toxicity.…”
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Estimation of snow cover through object-oriented techniques using image sensors OLI and TIRS (Case Study: Sabalan Mountain) by Hooshang Seifi

“…The base pixel method is based on the classification of numerical values of images, and the new object-oriented method, which, in addition to numerical values, uses content, Texture, and Background information also in the image classification process. …”
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The Impact of Weighting Factors on Dual-Energy Computed Tomography Image Quality in Non-Contrast Head Examinations: Phantom and Patient Study by Doris Šegota Ritoša, Doris Dodig, Slavica Kovačić, Nina Bartolović, Ivan Brumini, Petra Valković Zujić, Slaven Jurković, Damir Miletić

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Diagnostic Value of Software-Based Image Fusion of Computed Tomography and F18-FDG PET Scans in Patients with Malignant Lymphoma by B. Henninger, D. Putzer, D. Kendler, C. Uprimny, I. Virgolini, E. Gunsilius, R. Bale

“…The purpose of this study was to evaluate the accuracy of 2-deoxy-2-[fluorine-18]fluoro-D-glucose (FDG) positron emission tomography (PET), computed tomography (CT), and software-based image fusion of both modalities in the imaging of non-Hodgkin's lymphoma (NHL) and Hodgkin's disease (HD). …”
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Importance of Imaging in Congenital Unilateral Vocal Fold Paralysis: A Case of Neck Neuroblastoma Presenting with Unilateral Vocal Fold Paralysis by W. X. Yeo, C. Y. Chan, K. K. H. Tan

“…It can either be unilateral or bilateral, while imaging is routinely performed for bilateral VFP to evaluate for potential neurological causes, and such a practice may not be routine for unilateral VFP. …”
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Retracted: A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images by Behavioural Neurology

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Retracted: Design of Image Processing Technology Support System in Human-Computer Collaborative Visual Design Assisted by Artificial Intelligence Technology by Journal of Electrical and Computer Engineering

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In Vivo Imaging of Cardiac Attachment of TcI and TcII Variants of <i>Trypanosoma cruzi</i> in a Zebrafish Model by Victoria E. Rodriguez-Castellanos, Cristhian David Perdomo-Gómez, Juan Carlos Santos-Barbosa, Manu Forero-Shelton, Verónica Akle, John M. González

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RNA-BioLens: A Novel Raspberry Pi-Based Digital Microscope With Image Processing for Acute Lymphoblastic Leukemia Detection by Angeline Dwi Sanjaya, Rachmad Setiawan, Nada Fitrieyatul Hikmah

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Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers by Golshid Fathi, Seyed Ahmad Mireei, Mehrnoosh Jafari, Morteza Sadeghi, Hassan Karimmojeni, Majid Nazeri

“…Hyperspectral images of pure and adulterated seed samples were acquired in the spectral range of 400–1000 nm. …”
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Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study by Rongxue Shan, Chenhao Pei, Qianrui Fan, Junchuan Liu, Dawei Wang, Shifeng Yang, Ximing Wang

“…However, the variety of CT images, the misdiagnosis and missed diagnosis, and the inconsistent diagnosis among different radiologists pose challenges to accurate detection which demands sufficient clinical experience and can be time-consuming and labor-intensive. …”
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Morphology of Near- and Semispherical Melted Chips after the Grinding Processes Using Sol-Gel Abrasives Based on SEM-Imaging and Analysis by W. Kapłonek, K. Nadolny, W. Habrat

“…Selected issues related to SEM-imaging and image analysis of spherical melted chips formed during the grinding process are presented and discussed. …”
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