Online Characterization of Internal Stress in Aluminum Alloys During Laser-Directed Energy Deposition by Yi Lu, Jian Dong, Wenbo Li, Chen Wang, Rongqi Shen, Di Jiang, Yang Yi, Bin Wu, Guifang Sun, Yongkang Zhang

“…The results show that the DeeplabV3+ segmentation network accurately extracted deposition-layer contours and shrinkage information. …”
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Dual-Stream Contrastive Learning for Medical Visual Representations Using Synthetic Images Generated by Latent Diffusion Model by Weitao Ye, Longfu Zhang, Xiaoben Jiang, Dawei Yang, Yu Zhu

“…Comprehensive experiments are performed on two downstream tasks: medical image classification and segmentation. For multi-classification of pneumonia, our DCL-CsTP method achieves 95.90% accuracy. …”
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Change Detection Network Based on Transformer and Transfer Learning by Hua Li, Jingyu Li, Guanghao Luo, Liang Zhou, Hao Wu, Zhangcai Yin

“…To address the issue of noise during change detection, we established a joint loss function that increases the weight ratio of difficult and easy samples, thereby compelling the model to focus on discerning challenging samples. …”
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Deeply supervised two stage generative adversarial network for stain normalization by Zhe Du, Pujing Zhang, Xiaodong Huang, Zhigang Hu, Gege Yang, Mengyang Xi, Dechun Liu

“…To date, several methods have been proposed to mitigate this issue. However, these methods either produce images with low texture retention, perform poorly when trained with small datasets, or have low generalization capabilities. …”
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Non-invasive blood glucose monitoring using PPG signals with various deep learning models and implementation using TinyML by Mahdi Zeynali, Khalil Alipour, Bahram Tarvirdizadeh, Mohammad Ghamari

“…Initially, we analyzed 10-second PPG segments; however, our newly developed 1-second signal segmentation technique proved to significantly enhance accuracy and computational efficiency. …”
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A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis by Basma Jumaa Saleh, Zaid Omar, Muhammad Amir As’ari, Vikrant Bhateja, Lila Iznita Izhar

“…Since the outbreak of Coronavirus Disease 2019 (COVID-19), the virus has posed a grave threat to human health. Automated segmentation of COVID-19 lung computed tomography (CT) scans is a crucial diagnostic tool that aids physicians in providing accurate and timely diagnoses, as it contains significant radiomics information. …”
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Modèles d’organisation thématique des paragraphes et entre les paragraphes, à l’épreuve de la Rectorique de Cyceron by Guy Achard-Bayle, Ondřej Pešek

“…The article addresses the issue of the topical organisation of the paragraph and between paragraphs. …”
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Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MR by Ramona Schmitt, Christopher L. Schlett, Jonathan I. Sperl, Saikiran Rapaka, Athira J. Jacob, Manuel Hein, Muhammad Taha Hagar, Philipp Ruile, Dirk Westermann, Martin Soschynski, Fabian Bamberg, Christopher Schuppert

“…A qualitative assessment noted segmentation issues. <b>Results</b>: The deep learning model generated CT measurements for 52 of the 53 patients (98%). …”
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Molecular markers of cardiac fibrosis after myocardial infarction by O. L. Barbarash, A. G. Kutikhin, T. B. Pecherina, R. S. Tarasov, V. V. Kashtalap, N. V. Fedorova, L. A. Bogdanov, O. N. Hryachkova, D. Yu. Sedykh

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Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap! by Ioanna Chouvarda, Sara Colantonio, Ana S. C. Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou

“…Among the topics where TGs may benefit from further exposure are stability and robustness checks, and mitigation of fairness issues. On the other hand, CGs seemed more reluctant towards synthetic data for validation and would benefit from exposure to cross-validation techniques, or segmentation metrics. …”
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Deformable registration for nasopharyngeal carcinoma using adaptive mask and weight allocation strategy based CycleFCNs model by Yi Guo, Jun Chen, Lin Lu, Lingna Qiu, Linzhen Lan, Feibao Guo, Jinsheng Hong

“…Most of the existing deep learning methods ignored two issues that can lead to inaccurate registration, including the limited field of view in MR scans and the different scanning angles that can exist between multimodal images. …”
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Le découpage chapitral dans House of Cards : une stratégie narrative liée au modèle de diffusion de Netflix by Anaïs Goudmand

“…This article aims to analyze the segmentation into chapters in a Netflix original series, House of Cards (2013-2018). …”
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Investigating the impact of variety of e-retail delivery service options on customer retention by Soheila Zarinjoy alvar, shahin raz, Ali Tavakolifar

“…Therefore, according to the issues raised, the present research seeks to answer this question: what effect does the variety of electronic retail delivery service options have on customer retention? …”
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Echocardiographic correlates of cardiac fibrosis in patients with myocardial infarction and preserved left ventricular ejection fraction by N. V. Fedorova, A. I. German, A. N. Kokov, N. K. Brel, T. B. Pecherina, V. V. Kashtalap, V. N. Karetnikova, O. L. Barbarash

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A Transition-Based Neural Framework for Chinese Nested Entity and Relation Recognition by Junchi Zhang, Mengchi Liu

“…However, this process often leads to the problem of error propagation and prevents cross-task information integration. To address this issue, we propose a novel transition-based model that performs nested entity recognition and relation extraction jointly without the need of word segmentation beforehand, which is achieved by leveraging the recent advance in using a lattice structure for Chinese sentence encodings. …”
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Visual Servoing Drone Utilizing Ground Robot Detection Model for UAV-UGV Alignment for Retrieval Operations by Jamaica Mae Pepito, John Mel Bolaybolay, Earl Ryan Aleluya, Francis Jann Alagon, Steve Clar, Immanuel Paradela, Sherwin Guirnaldo, Jeanette Pao, Carl John Salaan, Argel Bandala

“…This study utilized YOLOv8n segmentation model to develop a ground robot detection model. …”
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ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

“…This paper attempts to address these issues by offering a novel method (ANN-SVM-IP) that integrates image processing (IP)-based segmentation and ML algorithms (ANN-SVM) for extracting and classifying exterior defects in apple fruits. …”
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CT-based artificial intelligence system complementing deep learning model and radiologist for liver fibrosis staging by Shuang Zheng, Wenao Ma, Lin Mu, Kan He, Jianfeng Cao, Tiffany Y. So, Lei Zhang, Mingyang Li, Yanan Zhai, Feng Liu, Shunlin Guo, Longlin Yin, Liming Zhao, Lei Wang, Heather H.C. Lee, Wei Jiang, Junqi Niu, Pujun Gao, Qi Dou, Huimao Zhang

“…In this study, we developed an automated DL-based segmentation and classification model (Model-C). Test-time adaptation was used to address data distribution shifts. …”
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Design of Conveying Control System for Sugarcane Harvester Based on Machine Vision by Xiao Lai, Xiao Lang

“…First, the YOLOv8n segmentation algorithm is combined with depth data to detect the cane intake amount. …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…The methodology commences with a novel token segmentation approach named Multi-level Tokenization (MLT). …”
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