Abnormality detection in nailfold capillary images using deep learning with EfficientNet and cascade transfer learning by Mona Ebadi Jalal, Omar S. Emam, Cristián Castillo-Olea, Begoña García-Zapirain, Adel Elmaghraby

“…Our dataset consists of NFC images from a total of 225 participants, with normal images accounting for 6% of the dataset. …”
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A forestry investigation: Exploring factors behind improved tree species classification using bark images by Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

“…This study investigates why researchers often focus on segment-specific bark images for tree species classification via deep neural networks rather than large or entire tree images. …”
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Assessment of Gastric Phenotypes Using Magnifying Narrow-Band Imaging for Differentiation of Gastric Carcinomas from Adenomas by Masaaki Kobayashi, Satoru Hashimoto, Ken Nishikura, Ken-Ichi Mizuno, Manabu Takeuchi, Yoichi Ajioka

“…We investigated the utility of narrow-band imaging with magnifying endoscopy (NBI-ME) for mucin phenotypic assessment to differentiate carcinomas from adenomas. …”
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Moving Target Localization in Sports Image Sequence Based on Optimized Particle Filter Hybrid Tracking Algorithm by Yan Guo

“…For the image sequence S3, the tracking effect of the optimized particle filter hybrid tracking algorithm meets the requirements.…”
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Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism by RuoXi Qin, Zhenzhen Wang, LingYun Jiang, Kai Qiao, Jinjin Hai, Jian Chen, Junling Xu, Dapeng Shi, Bin Yan

“…Due to restrictions caused by single modality images of dataset as well as the lack of approaches that allow for a reliable extraction of fine-grained features from different imaging modalities, research regarding the automated diagnosis of lung cancer based on noninvasive clinical images requires further study. …”
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MFCEN: A lightweight multi-scale feature cooperative enhancement network for single-image super-resolution by Jiange Liu, Yu Chen, Xin Dai, Li Cao, Qingwu Li

Subjects: “…single-image super-resolution…”
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Brain magnetic resonance imaging findings in Mitochondrial Neurogastrointestinal Encephalomyopathy (MNGIE): A case-based review by Maria Veatriki Christodoulou, MD, MSc, Nikoletta Anagnostou, MD, MSc, Anastasia K. Zikou, MD, PhD

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Research on Rapid Evaluation of Rock Mass Quality Based on Ultrasonic Borehole Imaging Technology and Fractal Method by Yuezheng Zhang, Hongguang Ji, Wenguang Li, Kuikui Hou

“…The distribution of discontinuities in the deep stratigraphic rock mass is random and irregular, and the spatial distribution has statistical self-similarity, which can be analyzed by fractal theory. The borehole wall image obtained based on the ultrasonic borehole imaging technology can clearly reflect the rich structural surface information such as the inclination, density, and crack width of the structural surface in the rock mass. …”
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Investigation of Sandstone Mesostructure Damage Caused by Freeze-Thaw Cycles via CT Image Enhancement Technology by Hui Liu, Gengshe Yang, Yehui Yun, Jianghao Lin, Wanjun Ye, Huimei Zhang, Yao Zhang

“…Based on the microphysical information contained in these CT images, pseudo-color-enhancement of the CT images of rocks subjected to freeze-thaw cycles was realized. …”
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SERVICE FOR FOREIGN TOUR GROUPS IN MOSCOW AS A COMPONENT OF THE TOURIST REGION IMAGE (BASED ON 2015-2016) by N. Zamyatina, A. Zbarskaya

Subjects: “…tourist image…”
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Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network by Yuezhi He, Xu Yang, Shiwei Ye, Zonghua Wen, Peng Liu, Hui Li, Feng Xiang, Jiuling Liao, Yizhou Tan, Haoyong Ning, Junjie Zou, Guilu He, Long Zeng, Yanwu Guo, Hui Li, Ying Gu, Bo Wang, Wei Zheng

“…The system first integrates two cameras positioned at two distinct imaging planes to simultaneously acquire images and then combines the images with a self-calibrated diplane network. …”
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An MR Brain Images Classifier System via Particle Swarm Optimization and Kernel Support Vector Machine by Yudong Zhang, Shuihua Wang, Genlin Ji, Zhengchao Dong

“…In the experimental procedure, we created a 90 images dataset brain downloaded from Harvard Medical School website. …”
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User image construction framework based on big data fusion background for power grid business travel by Changhao ZHANG, Zhiyong YU, Zhen ZHOU, Ruijie SHI, Xinyong WANG

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Vascular Fluorescence Imaging Control for Complex Renal Artery Aneurysm Repair Using Laparoscopic Nephrectomy and Autotransplantation by Matteo Tozzi, Luigi Boni, Gabriele Soldini, Marco Franchin, Gabriele Piffaretti

“…Intraoperative fluorescent imaging using indocyanine green enables vascular surgeons to confirm the location and states of the reconstructed vessels during surgery. …”
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Is preoperative imaging of sentinel lymph node in breast cancer necessary? A retrospective case control study by Michael J. Reinhardt, Björn Ohmstede, Luz Angela Torres-de la Roche, Rudy Leon De Wilde

“…Group 1 included patients who underwent SLN extirpation without preoperative SLN imaging, and Group 2 included patients who underwent SLN imaging prior to surgery. …”
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Optical Coherence Tomography (OCT) in oral cancer: A promising imaging modality for early detection and monitoring by P. Kowsalya, S. Menaka

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The impact of urban regeneration on transforming the image of a declining district: The case of the Bardo district in Constantine (Algeria) by Guerdouh Amal, Naceur Farida

“…This article explores the urban regeneration project of an old, decaying district called Bardo, located in the city center of Constantine, Algeria, examining its impact on the physical transformation of the district and its image, as well as the reactions of the local population. …”
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Ultrahigh Resolution ISAR Imaging of a Target With Unknown and Complex Motion Using SA-NCS Algorithm by Yuexin Gao, Hanwen Yu, Min Xue, Jianlai Chen

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Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data by Anum Abdul Salam, Muhammad Zeeshan Asaf, Muhammad Usman Akram, Noah Musolff, Samavia Khan, Bassem Rafiq, Babar Rao

Subjects: “…Whole slide image segmentation…”
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A deep learning based smartphone application for early detection of nasopharyngeal carcinoma using endoscopic images by Yubiao Yue, Xinyu Zeng, Huanjie Lin, Jialong Xu, Fan Zhang, KeLin Zhou, Li Li, Zhenzhang Li

“…Here, we retrospectively analysed 39,340 nasal endoscopic white-light images from three high-incidence NPC centres, utilising eight advanced deep learning models to develop an Internet-enabled smartphone application, “Nose-Keeper”, that can be used for early detection of NPC and five prevalent nasal diseases and assessment of healthy individuals. …”
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