Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model by Santosh Kumar Henge, Nikhil Reddy Viraati, Musaed Alhussein, Ajay Shriram Kushwaha, Khursheed Aurangzeb, Ravleen Singh

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DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUs by Corne Verburg, Alexander Heinlein, Eric C. Cyr

“…Specifically, a domain decomposition-based U-Net (DDU-Net) architecture is introduced, which partitions input images into non-overlapping patches that can be processed independently on separate devices. …”
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A Synergistic Approach to Colon Cancer Detection: Leveraging EfficientNet and NSGA-II for Enhanced Diagnostic Performance by Noushin Saba, Afia Zafar, Mohsin Suleman, Kainat Zafar, Shahneer Zafar, Adil Ali Saleem, Hafeez Ur Rehman Siddiqui, Muhammad Iqbal, Syed Sajid Ullah

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Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms by V. Maheskumar, R. Vijayarajeswari

“…The new framework of ResViT-FLBoost incorporates ResNet convolutional features together with ViT contextual representations which are boosted by dynamic attention components. …”
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Effectiveness of Teachable Machine, mobile net, and YOLO for object detection: A comparative study on practical applications by Sheikh Muhammad Saqib, Muhammad Iqbal, Tehseen Mazhar, Tariq Shahzad, Khmaies Ouahada, Habib Hamam

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TriPlaNet: Enhancing machine-paraphrasing plagiarism detection through triplet network and contrastive learning by Deyu Meng, Ziheng Wang, Tshewang Phuntsho, Tad Gonsalves

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FLA-UNet: feature-location attention U-Net for foveal avascular zone segmentation in OCTA images by Wei Li, Li Cao, He Deng

“…The FLAB consists of feature-aware blocks and location-aware blocks in parallel, and is embed into each decoder of U-Net to integrate more marginal information of FAZ and strengthen the connection between target region and boundary information. …”
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MFF-Net: A Lightweight Multi-Frequency Network for Measuring Heart Rhythm from Facial Videos by Wenqin Yan, Jialiang Zhuang, Yuheng Chen, Yun Zhang, Xiujuan Zheng

“…Hence, we propose a lightweight multi-frequency network named MFF-Net to measure heart rhythm via facial videos in a short time. …”
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VIOS-Net: A Multi-Task Fusion System for Maritime Surveillance Through Visible and Infrared Imaging by Junquan Zhan, Jiawen Li, Langtao Wu, Jiahua Sun, Hui Yin

“…The experimental results demonstrate that VIOS-Net achieves an accuracy of 96.20% across both visible and infrared spectral datasets, significantly outperforming the baseline ResNet-34 model, which attained accuracies of only 4.86% and 9.04% in visible and infrared data, respectively. …”
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CGA-Net: A CNN-GAT Aggregation Network Based on Metric for Change Detection in Remote Sensing by Huilan Lin, Chunlei Zhao, Rong He, Ming Zhu, Xin Jiang, Yi Qin, Wen Gao

“…Attempting to solve the problems in existing object-level change detection methods, such as ignoring the relationship between dual-branch features, insufficient utilization of feature point information, and unreasonable fusion weight allocation mechanism, this article proposes an object-level change detection network, CGA-Net, based on metric, which combines similarity measurement with the feature extraction and fusion. …”
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GIRH-Unet: Improved Residual Tobacco Segmentation Algorithm Based on GhostNetV3-Unet by Jianhua Ye, Yunda Zhang, Pan Li, Ze Guo

“…Our approach utilizes an improved GhostNetV3 to bolster feature extraction capabilities. …”
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The TyphiNET data visualisation dashboard: unlocking Salmonella Typhi genomics data to support public health by Zoe A. Dyson, Louise Cerdeira, Vandana Sharma, Megan E. Carey, Kathryn E. Holt, Global Typhoid Genomics Consortium

“…Conclusions The TyphiNET dashboard provides an interactive platform for accessing genome-derived data on pathogen variant frequencies to inform typhoid control and intervention strategies. …”
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AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features by Ruochen Zhang, Hyeung-Sik Choi, Dongwook Jung, Phan Huy Nam Anh, Sang-Ki Jeong, Zihao Zhu

“…AuxDepthNet introduces two key components: the Auxiliary Depth Feature (ADF) module, which implicitly learns depth-sensitive features to improve spatial reasoning and computational efficiency, and the Depth Position Mapping (DPM) module, which embeds depth positional information directly into the detection process to enable accurate object localization and 3D bounding box regression. …”
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Detection of liver metastases by abbreviated MRI protocol in patient with pNET and severe chronic kidney disease by Mateusz Winder, Katarzyna Steinhof-Radwańska

“…Pancreatic neuroendocrine tumors (pNETs) and their metastases usually present as early and vividly enhancing tumors on contrast enhanced computed tomography (CECT). …”
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BreNet: Attention-Enhanced Multi-Scale CNN Framework for Breast Cancer Classification in Histopathological Images by Helala M. Alshehri

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ColoViT: a synergistic integration of EfficientNet and vision transformers for advanced colon cancer detection by Bukka Sathyanarayana, Sreedevi Alampally, Ramakrishna Akella, Veera Venkata Raghunath Indugu

“…Methods This study introduces ColoViT, a hybrid diagnostic framework that synergistically integrates EfficientNet and Vision Transformers. EfficientNet contributes scalability and high performance in feature extraction, while Vision Transformers effectively capture the global contextual information within colonoscopic images. …”
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TGF-Net: Transformer and gist CNN fusion network for multi-modal remote sensing image classification. by Huiqing Wang, Huajun Wang, Linfen Wu

“…In this paper, we propose a fusion network based on transformer and gist convolutional neural network (CNN), namely TGF-Net. To minimize the duplication of information in multimodal data, the TGF-Net network incorporates a feature reconstruction module (FRM) that employs matrix factorization and self-attention mechanism for decomposing and evaluating the similarity of multimodal features. …”
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Research on Distributed Photovoltaic Short-Term Power Prediction Method Based on Weather Fusion and LSTM-Net by Fengjun LI, Lei WANG, Jian ZHAO, Jianbin ZHANG, Shiyao ZHANG, Yangyang TIAN

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IGFU: A Hybrid Underwater Image Enhancement Approach Combining Adaptive GWA, FFA-Net With USM by Xin Yuan, Chenhui Wang, Xiaohong Chen, Mingxuan Wang, Ning Li, Changli Yu

“…This method begins with color correction by applying different stretching processes to the RGB components based on the image's color information, and iteratively corrects the colors. Next, the corrected image undergoes dehazing via FFA-Net to eliminate underwater haze and improve clarity. …”
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CIMF-Net: A Change Indicator-Enhanced Multiscale Fusion Network for Remote Sensing Change Detection by Jiting Zhou, Pu Zhang, Zhihao Zhou

“…Extensive experiments on three benchmark datasets highlight the superior performance of CIMF-Net compared to baseline network, achieving higher F1-scores, IoU, and overall accuracy. …”
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