Improving Cell Nuclei Segmentation in Pathological Tissues Using Self-Supervised Regression Method by Hesham Ali, Mostafa Hammouda, Mustafa Elattar, Sahar Selim

“…Digital pathology, integral to cancer diagnosis, heavily utilizes the analysis of whole slide images (WSIs) to detect cancer cells. …”
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Hyperspectral target detection based on graph sampling and aggregation network. by Tie Li, Hongfeng Jin, Zhiqiu Li

“…To comprehensively utilize the spectral information encapsulated within hyperspectral images and more effectively handle the intricate and irregular structures among pixels in complex hyperspectral data, a novel graph sampling aggregation network model is put forward for hyperspectral target detection. …”
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Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

“…Background & Aims: Hepatocellular carcinoma (HCC) is characterized by a high mortality rate. The Liver Imaging Reporting and Data System (LI-RADS) results in a considerable number of indeterminate observations, rendering an accurate diagnosis difficult. …”
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Replication of neural responses to monetary incentives and exploration of reward-influenced network connectivity in fibromyalgia by Su Hyoun Park, Eden Z. Deng, Anne K. Baker, Kelly H. MacNiven, Brian Knutson, Katherine T. Martucci

“…Further, results from similarly-designed behavioral, correlational, and exploratory analyses were complementary to previous findings. Finally, a novel network-based functional connectivity analysis of the MID task fMRI data across patients vs. controls implied enhanced connectivity within the default mode network in participants with fibromyalgia. …”
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3BTRON: A Blood-Brain Barrier Recognition Network by Nan Fletcher-Lloyd, Isabel Bravo-Ferrer, Katrine Gaasdal-Bech, Blanca Díaz Castro, Payam Barnaghi

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SEM Deep Learning Multiclass Noise Level Classification With Data Augmentation by Kai Liang Lew, Kok Swee Sim, Shing Chiang Tan

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Application of Artificial Intelligence Technology in Computer Network Security Communication by Fulin Li

“…By converting the protocol into an image and establishing a convolutional neural network model, artificial intelligence technology is used to map the data to the protocol result. …”
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Application of Neural Networks to the Classification of Pancreatic Intraductal Proliferative Lesions by Krzysztof Okoń, Romana Tomaszewska, Krystyna Nowak, Jerzy Stachura

“…Intraductal lesions were classified as low and high grade as previously described. The image analysis system consisted of a microscope, CCD camera combined with a PC and AnalySIS v. 2.11 software. …”
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A compressive data gathering method based on El Gamal cryptography by Xiaohan YU, Keming DONG, Xia LI, Chao CHEN

“…As a hot researching area,compressive sensing has advantages in signal process,image processing and data gathering and analysis.How to effectively and safely apply compressive sensing technology to collect data in wireless sensor networks is studied.Conventional compressive sensing technology based data collection method does not consider the security issue.Furthermore,every nod in the network must participate in the process of collecting measurements.The El Gamal cryptography and sparse matrices based compressive sensing technology were combined,and the El Gamal based sparse compressive data gathering (ESCDG) method was proposed.Theoretical analysis and numerical experiments show that ESCDG not only decreases the network resource consumption but also be able to defense the internal and external attacks.…”
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Understanding Logical-Shift Error Propagation in Quanvolutional Neural Networks by Marzio Vallero, Emanuele Dri, Edoardo Giusto, Bartolomeo Montrucchio, Paolo Rech

“…Quanvolutional neural networks (QNNs) have been successful in image classification, exploiting inherent quantum capabilities to improve performance of traditional convolution. …”
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Application of Convolutional Neural Networks in Animal Husbandry: A Review by Rotimi-Williams Bello, Roseline Oluwaseun Ogundokun, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu

“…Convolutional neural networks (CNNs) and their application in animal husbandry have in-depth mathematical expressions, which usually revolve around how well they map input data such as images or video frames of animals to meaningful outputs like health status, behavior class, and identification. …”
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Privacy-preserved data hiding using compressive sensing and fuzzy C-means clustering by Ming Li, Lanlan Wang, Haiju Fan

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The Connectome Visualization Utility: software for visualization of human brain networks. by Roan A LaPlante, Linda Douw, Wei Tang, Steven M Stufflebeam

“…By decoupling the process of network creation from network visualization and analysis, we ensure that CVU can visualize networks from any imaging modality. …”
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Overview of the identification of traffic accident-prone locations driven by big data by Chunjiao Dong, Naixin Chang

“…The study shows that the foreign literature focuses on the innovation of data and indicators and changes from accident point safety management to road network safety management, while the research in Chinese literature focuses on the integration of multiple identification methods and theoretical innovation. …”
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Assessing the role of volumetric brain information in multiple sclerosis progression by Andy A. Shen, Aidan McLoughlin, Zoe Vernon, Jonathan Lin, Richard A.D. Carano, Peter J. Bickel, Zhuang Song, Haiyan Huang

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A WGAN-GP Approach for Data Imputation in Photovoltaic Power Prediction by Zhu Liu, Lingfeng Xuan, Dehuang Gong, Xinlin Xie, Zhongwen Liang, Dongguo Zhou

“…Our contributions include analyzing the necessity of data imputation, designing a novel conditional GAN-based network for PV data generation, and validating the generated data using frequency domain analysis, t-NSE, and prediction performance. …”
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Photonic neural networks at the edge of spatiotemporal chaos in multimode fibers by Kesgin Bahadır Utku, Teğin Uğur

“…Through numerical simulations and experiments, we show that chaotic light propagation in multimode fibers enhances data classification accuracy across domains, including biomedical imaging, fashion, and satellite geospatial analysis. …”
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Land Surface Temperature Super-Resolution With a Scale-Invariance-Free Neural Approach: Application to MODIS by Romuald Ait-Bachir, Carlos Granero-Belinchon, Aurelie Michel, Julien Michel, Xavier Briottet, Lucas Drumetz

“…The second contribution of this work is the release of an evaluation database with ASTER LST images concomitant with MODIS ones that can be used for evaluation of super-resolution algorithms. …”
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The BRAIN Initiative data-sharing ecosystem: Characteristics, challenges, benefits, and opportunities by Sudhanvan Iyer, Kathryn Maxson Jones, Jill O Robinson, Nicole R Provenza, Dominique Duncan, Gabriel Lázaro-Muñoz, Amy L McGuire, Sameer A Sheth, Mary A Majumder

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A Deep Learning Framework for Healthy Lifestyle Monitoring and Outdoor Localization by Mehrab Rafiq, Naif S. Alshammari, Haifa F. Alhasson, Dina Abdulaziz Alhammadi, Mohammed Alshehri, Ahmad Jalal, Hui Liu

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