Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Imaging of a Patient with Squamous Cell Carcinoma of Prostate by Gonca Kara Gedik, Guler Yavas, Murat Akand, Esin Celik, Oktay Sari

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Volumetric trans-scale imaging of massive quantity of heterogeneous cell populations in centimeter-wide tissue and embryo by Taro Ichimura, Taishi Kakizuka, Yoshitsugu Taniguchi, Satoshi Ejima, Yuki Sato, Keiko Itano, Kaoru Seiriki, Hitoshi Hashimoto, Ko Sugawara, Hiroya Itoga, Shuichi Onami, Takeharu Nagai

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A Semantic Segmentation Method for Remote Sensing Images Based on an Improved TransDeepLab Model by Jinxin Wang, Manman Wang, Kaiwei Cong, Zilong Qin

Subjects: “…high-resolution remote sensing image…”
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En plaque meningioma of the temporal bone: A systematic review on the imaging and management of a rare tumor by Arianna Burato, Giuseppe Maruccio, Livio Presutti, Ignacio Javier Fernandez, Gabriele Molteni, Giulia Molinari

“…Conclusions: Meningioma en plaque (MEP) is a rare tumour, particularly when it originates within the temporal bone. Appropriate imaging in patients complaining of audiological sign and symptoms is mandatory to avoid diagnostic delays, avoid inappropriate surgical procedures, and adopt the appropriate treatment.…”
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Evaluation of Endoscopic Ultrasound Image Quality Is Necessary in Endosonographic Assessment of Early Gastric Cancer Invasion Depth by Shunsuke Yamamoto, Tsutomu Nishida, Motohiko Kato, Takuya Inoue, Yoshito Hayashi, Jumpei Kondo, Tomofumi Akasaka, Takuya Yamada, Shinichiro Shinzaki, Hideki Iijima, Masahiko Tsujii, Tetsuo Takehara

“…We evaluated whether endoscopic ultrasonography (EUS) image quality affects the accuracy of diagnosing the vertical invasion depth of early gastric cancer (EGC). …”
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A Comparative Study of Supervised and Self-Supervised Denoising Techniques for Defect Segmentation in Industrial CT Imaging by Virginia Florian, Jiayang Shi, Willem Jan Palestijn, Daniël M. Pelt, K. Joost Batenburg, Thomas Lang, Christoph Heinzl, Christian Kretzer, Stefan Kasperl, Dominik Wolfschläger, Robert H. Schmitt

“… X-ray computed tomography (CT) is a powerful imaging tool for defect detection, segmentation and feature extraction in industrial applications as it enables non-destructive evaluation. …”
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Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer by Iva VilasBoas-Ribeiro, Kemal Sumser, Sven Nouwens, Theresa Feddersen, W.P.M.H. Heemels, Gerard C. van Rhoon, Margarethus M. Paulides

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Clinical utility of smartphone-based digital infrared thermal imaging in predicting vascular compromise in free flaps by Padmalakshmi Bharathi Mohan, S. Dineshkumar, Devi Prasad Mohapatra, Prasanth Penumadu, M.T. Friji, Ravi Kumar Chittoria

Subjects: “…digital thermal imaging…”
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Detecting glacial lake water quality indicators from RGB surveillance images via deep learning by Zijian Lu, Xueyan Zhu, Jinfeng Li, Mingyue Li, Jie Wang, Wenqiang Wang, Yili Zheng, Qianggong Zhang

“…We segmented RGB images and applied regression modeling with field-measured water turbidity data, and then used deep learning models to accurately estimates turbidity levels and their changes. …”
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Retracted: Analysis of Feature Extraction and Anti-Interference of Face Image under Deep Reconstruction Network Algorithm by null Complexity

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L’impact de l’image sur la perception et transformation des représentations mentales by Carmen Compte

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Role of imaging in the diagnosis and management of mixed epithelial and stromal tumors of the kidney: Case series and comprehensive review by Kasha Chen, BS, Jasmine Zhao, MD, Ali Sasani, BS, MS, Ryan Sabour, BS, Hannah Cho, BS, Riya Bansal, BS, Chang Shu, BSEE, MSEE, MSCS, Ryan O'Connell, MD, Roozbeh Houshyar, MD

“…This case series will present 7 cases of this rare renal neoplasm with emphasis on radiological imaging as an important tool in the guidance of clinical management. …”
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A two-stage contour optimization network for building outline extraction from remote sensing images by Youping Xie, Bin Feng, Longjie Luo, Bin Hu, Li Cao, Fan Lei

“…Building extraction from remote sensing images is the basis of many applications. However, most current studies consider building extraction a semantic segmentation task to categorize pixels in an image. …”
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M2Caps: learning multi-modal capsules of optical and SAR images for land cover classification by Haodi Zhang, Anzhu Yu, Kuiliang Gao, Xuanbei Lu, Xuefeng Cao, Wenyue Guo, Weiqi Lian

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A Modified Simplified Reference Tissue Model for the Quantification of Dopamine D Receptors with [F]Fallypride Images by Stergios Tsartsalis, Marcelle Moulin-Sallanon, Noé Dumas, Benjamin B. Tournier, Nathalie Ginovart, Philippe Millet

“…Molecular Imaging…”
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An Attention-Based Residual U-Net for Tumour Segmentation Using Multi-Modal MRI Brain Images by Najme Zehra Naqvi, K. R. Seeja

Subjects: “…MRI images…”
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Real-Time Fluorescence Imaging for Thoracic Duct Identification during Oesophagectomy: A Systematic Review of the Literature by Dimitra V. Peristeri, Minas Baltatzis

Data-driven Dynamics with Orbital Torus Imaging: A Flexible Model of the Vertical Phase Space of the Galaxy by Adrian M. Price-Whelan, Jason A. S. Hunt, Danny Horta, Micah Oeur, David W. Hogg, Kathryn Johnston, Lawrence Widrow

“…We show that this framework—“orbital torus imaging” (OTI)—is rigorously justified in the context of dynamical theory, and does a good job of fitting orbits to simulated stellar abundance data with varying degrees of realism. …”
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True 2-D 5/3 wavelet transform and its application for CT image lossless compression by Nini XU, Mingming ZHANG, Jianming WANG

“…Wavelet transform is widely used in the field of digital image processing，and it usually processes image by separating the row and column，which can’t meet the human visual system（HVS）completely.To address this situation，a kind of true 2-D 5/3 wavelet transform was constructed，which was more consistent with HVS.Firstly，1-D 5/3 wavelet filter bank constructed the true 2-D Lazy wavelet filter bank by McClellan transform，and it was implemented by lifting scheme.Then，this lifting scheme was nested with the true 2-D Lazy wavelet filter bank to implement true 5/3 wavelet transform of image.To facilitate engineering applications，the transformation procedure was given.The experiments of true 5/3 wavelet transform used in CT image lossless compression，the experiment shows that，for 512×512 size CT image true 5/3 wavelet transform has better compression effect when compared with two dimensional separable 5/3 wavelet transform and can save 1 989.9 byte per piece on average.…”
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Use of fluorescence imaging and spectrometry in detection of oral squamous cell carcinoma and oral potentially malignant disorders by Vivek Nayyar, Pramila Thapa, Dalip Singh Mehta, Rahul Yadav, Krushna Bhatt, Varun Surya, Deepika Mishra

“…But potential of fluorescence imaging and spectrometry with exogenous flourorophore has yet to be explored for real time oral cancer detection. …”
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