An Adapter and Segmentation Network-Based Approach for Automated Atmospheric Front Detection by Xinya Ding, Xuan Peng, Yanguang Xue, Liang Zhang, Tianying Wang, Yunpeng Zhang

“…Comprehensive evaluation using ERA5 reanalysis data (2009–2018) demonstrates significant improvements, including an 85.1% F1-score, outperforming traditional methods (TFP: 63.1%) and deep learning approaches (Unet: 83.3%), and a 31% reduction in false alarms compared to semantic segmentation methods. The framework’s modular design allows for potential application to other meteorological feature detection tasks. …”
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Automatic Segmentation of Asphalt Cracks on Highways After Large-Scale and Severe Earthquakes Using Deep Learning-Based Approaches by Mehmet Yilmaz, Erkut Yalcin, Fatih Demir, Ahmet Munir Ozdemir, Muhammed Atar, Aysegul Gunes, Beyza Furtana Yalcin, Ertugrul Cambay

“…This study develops a deep learning-based automated system for detecting and segmenting earthquake-induced asphalt cracks, offering a rapid and reliable solution for post-disaster road condition assessments. …”
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An Integrated UAV and Deep Learning Framework With HSB-Based Segmentation for Automated Slope Anomaly Detection in Mountainous Soil and Water Conservation Sites by Nai-Hsin Pan, Bo-Yuan Chang

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Confident Learning-Based Label Correction for Retinal Image Segmentation by Tanatorn Pethmunee, Supaporn Kansomkeat, Patama Bhurayanontachai, Sathit Intajag

“…To tackle the issue of label noise in retinal image segmentation, an innovative label correction framework is introduced that combines Confident Learning (CL) with a human-in-the-loop re-annotation process to meticulously detect and rectify pixel-level labeling inaccuracies. …”
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Segmentation of Low-Grade Brain Tumors Using Mutual Attention Multimodal MRI by Hiroyuki Seshimo, Essam A. Rashed

“…This study provides an innovative pathway toward improving segmentation of low-grade tumors by enabling context-aware fusion across imaging sequences. …”
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A Computational Framework for Automated Puncture Trajectory Planning in Hemorrhagic Stroke Surgery by Ziyue Ma, Feng Yan, Yongzhi Shan, Yaming Wang, Hong Wang

“…This study proposes a computational framework integrating artificial intelligence (AI)‐driven segmentation, principal component analysis (PCA), and empirical optimization to automate puncture path generation. …”
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OKEN: A Supervised Evolutionary Optimizable Dimensionality Reduction Framework for Whole Slide Image Classification by Soroush Oskouei, André Pedersen, Marit Valla, Vibeke Grotnes Dale, Sissel Gyrid Freim Wahl, Mats Dehli Haugum, Thomas Langø, Maria Paula Ramnefjell, Lars Andreas Akslen, Gabriel Kiss, Hanne Sorger

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SwinDAF3D: Pyramid Swin Transformers with Deep Attentive Features for Automated Finger Joint Segmentation in 3D Ultrasound Images for Rheumatoid Arthritis Assessment by Jianwei Qiu, Grigorios M. Karageorgos, Xiaorui Peng, Soumya Ghose, Zhaoyuan Yang, Aaron Dentinger, Zhanpeng Xu, Janggun Jo, Siddarth Ragupathi, Guan Xu, Nada Abdulaziz, Girish Gandikota, Xueding Wang, David Mills

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Flood Index-Enhanced deep learning model for coastal inundation mapping in SAR imagery by Wantai Chen, Yinfei Zhou, Xiaofeng Li

“…The index offers a clear, flood-specific signal that enhances segmentation precision. Second, the model employs a dual-branch U-Net framework, augmented with specialized modules to enhance feature extraction and better integrate diverse data sources. …”
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An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management by Jian Dong, Yuan Xu, Rigeng Wu, Chengwang Xiao

“…We segment data from various sensors within the automatic dependent surveillance-broadcast system using a designed sliding window of equal time steps, inputting them into the feature extraction network to capture spatiotemporal features. …”
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