PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation by Shengyuan Liu, Ruofan Zhang, Mengjie Fang, Hailin Li, Tianwang Xun, Zipei Wang, Wenting Shang, Jie Tian, Di Dong

“…Abstract Federated learning (FL) has shown great potential in addressing data privacy issues in medical image analysis. However, varying data distributions across different sites can create challenges in aggregating client models and achieving good global model performance. …”
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Evaluation of Similarity of Image Explanations Produced by SHAP, LIME and Grad-CAM by Vladyslav Yavtukhovskyi, Violeta Tretynyk

“…Convolutional neural networks (CNNs) are a subtype of neural networks developed specifically to work with images [1]. …”
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Exploring Solar Granulation: from IMaX/SUNRISE to DKIST by Reza Mansouri, Rafal Angryk, Kevin Reardon

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Multiclass skin lesion classification and localziation from dermoscopic images using a novel network-level fused deep architecture and explainable artificial intelligence by Mehak Arshad, Muhammad Attique Khan, Nouf Abdullah Almujally, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam

“…Traditional machine learning models require extensive feature engineering, which is time-consuming and less effective in handling complex data like skin lesions. This study proposes a deep learning-based network-level fusion architecture that integrates multiple deep models to enhance the classification and localization of skin lesions in dermoscopic images. …”
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Towards ROXAS AI: automatic multi-species ring boundaries segmentation as regression in anatomical images by Marc Katzenmaier, Marc Katzenmaier, Vivien Sainte Fare Garnot, Jan Dirk Wegner, Georg von Arx, Georg von Arx

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A Near-Infrared Imaging System for Robotic Venous Blood Collection by Zhikang Yang, Mao Shi, Yassine Gharbi, Qian Qi, Huan Shen, Gaojian Tao, Wu Xu, Wenqi Lyu, Aihong Ji

“…The success of this robotic approach is heavily dependent on the quality of vein imaging. In this paper, we develop a vein imaging device based on the simulation analysis of vein imaging parameters and propose a U-Net+ResNet18 neural network for vein image segmentation. …”
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A secure and imperceptible communication system for sharing co-ordinate data by Ranjeet Bidwe, Sahil Kale, Gautam Khaire, Jay Patankar, Deepak Mane, Suraj Sawant

“…Abstract Military operations call for secure, imperceptible, and reliable communication systems for transmitting highly sensitive data such as geographical co-ordinates. This study proposes a novel hybrid framework combining AES-based encryption and hash-driven multi-image steganography to transmit co-ordinate data over TCP/IP networks securely. …”
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Educational Behaviour Analysis Using Convolutional Neural Network and Particle Swarm Optimization Algorithm by Zhenjiang Dong

“…To improve the quality of online education, a comprehensive and effective analysis of educational behaviour is necessary. In this paper, we proposed a network model based on the ResNet50 network fused with a bilinear hybrid attention mechanism and proposed an adaptive pooling weight algorithm based on the average pooling algorithm for the problems of image feature extraction caused by traditional pooling algorithm such as mutilation and blurring. …”
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Sentiment Analysis of Tweets on Prakerja Card using Convolutional Neural Network and Naive Bayes by Pahlevi Wahyu Hardjita, Nurochman, Rahmat Hidayat

“…People’s comments on it can be useful information, and this research tries to analyze the sentiment regarding the Prakerja Card program using the Convolutional Neural Network and Naive Bayes methods. The main task in this sentiment analysis is analyzing the data and then classifying them into one of the following classes: positive, negative or neutral. …”
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Computer vision digitization of smartphone images of anesthesia paper health records from low-middle income countries by Ryan D. Folks, Bhiken I. Naik, Donald E. Brown, Marcel E. Durieux

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Advanced AI-driven detection of cinnamon powder adulteration using near-infrared spectroscopy and deep learning image recognition technique by Hao-Hsiang Ku, Ya-Chuan Liao, Ching-Ho Chi

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An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment by Yuzhuo Cui, Yingqiu Yang, Yuqing Xia, Yan Li, Zhaoxi Feng, Shiya Liu, Guangqi Yuan, Chunli Lv

“…This paper presents an efficient weed detection method based on the latent diffusion transformer, aimed at enhancing the accuracy and applicability of agricultural image analysis. The experimental results demonstrate that the proposed model achieves a precision of 0.92, a recall of 0.89, an accuracy of 0.91, a mean average precision (mAP) of 0.91, and an F1 score of 0.90, indicating its outstanding performance in complex scenarios. …”
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A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…Abstract The exponential growth of Big Data in healthcare, particularly in AI-driven medical diagnostics, has raised critical concerns about data privacy in medical image classification. …”
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Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data by Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

“…ASCSs were identified over large areas and soil maps of ASCSs were constructed using multitemporal spectral characteristics of the BSS in the form of multitemporal soil line coefficients. Neural networks were used to identify BSS on big remote sensing data. …”
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An ensemble method for cloud mask calculation based on data from the AHI instrument onboard the Himawari-8/9 satellite using convolutional neural networks by A.I. Andreev, S.I. Malkovsky, M.O. Kuchma, Y.A. Shamilova

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Improving Artificial Intelligence–based Microbial Keratitis Screening Tools Constrained by Limited Data Using Synthetic Generation of Slit-Lamp Photos by Daniel Wang, BA, Bonnie Sklar, MD, James Tian, MD, Rami Gabriel, MD, Matthew Engelhard, MD, PhD, Ryan P. McNabb, PhD, Anthony N. Kuo, MD

“…Objective: We developed a novel slit-lamp photography (SLP) generative adversarial network (GAN) model using limited data to supplement and improve the performance of an artificial intelligence (AI)–based microbial keratitis (MK) screening model. …”
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Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China by Hongran Li, Hui Zhao, Chao Wei, Min Cao, Jian Zhang, Heng Zhang, Dongqing Yuan

“…This study addresses these limitations by leveraging hyperspectral images (HSIs) analysis and introducing a capsule network (CapsNet) model enhanced with a multidimensional integration attention (MDIA) mechanism. …”
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Med-DGTN: Dynamic Graph Transformer with Adaptive Wavelet Fusion for multi-label medical image classification by Guanyu Zhang, Yan Li, Tingting Wang, Guokun Shi, Li Jin, Zongyun Gu, Zongyun Gu

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Visual nutrition analysis: leveraging segmentation and regression for food nutrient estimation by Yaping Zhao, Yaping Zhao, Ping Zhu, Ping Zhu, Yizhang Jiang, Kaijian Xia, Kaijian Xia

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Wide‐Field Bond Quality Evaluation Using Frequency Domain Thermoreflectance with Deep Neural Network Feature Reconstruction by Amun Jarzembski, Siddharth Nair, Wyatt Hodges, Matthew Jordan, Anthony McDonald, Logan Antiporda, Greg W. Pickrell, Timothy Walsh, Fabio Semperlotti, Jason Neely, Luke Yates

“…Utility of noisy higher frequency FDTR phase maps, i.e., near the computationally predicted sensing depth limit, results in an average prediction error of 11%. Taken together, FDTR with neural network‐based analysis demonstrates subsurface bond monitoring at length scales relevant for heterogeneously integrated microelectronics.…”
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