Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

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An attention based residual U-Net with swin transformer for brain MRI segmentation by Tazkia Mim Angona, M. Rubaiyat Hossain Mondal

Subjects: “…Brain tumor segmentation…”
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LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips by Jie Zhang, Ning Chen, Mengyuan Li, Yifan Zhang, Xinyu Suo, Rong Li, Jian Liu

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TÜKETİCİLERİN ÇEVRE BİLİNCİ VE ÇEVREYE DUYARLI SATINALMA DAVRANIŞLARINA YÖNELİK BİR PİLOT ARAŞTIRMA by Tülay Yeni̇çeri̇

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Corrigendum: A clinical practical model for preoperative prediction of visual outcome for pituitary adenoma patients in a retrospective and prospective study by Zijian Zheng, Zijian Zheng, He Wang, Qianxi Chen, Qianxi Chen, Zhicheng Wang, Zhicheng Wang, Jun Fu, Jun Fu, Wenjian Fan, Wenjian Fan, Yuanxiang Lin, Yuanxiang Lin, Dezhi Kang, Dezhi Kang, Dezhi Kang, Changzhen Jiang, Changzhen Jiang, Zhangya Lin, Zhangya Lin, Xiaorong Yan, Xiaorong Yan, Xiaorong Yan

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Segmentation of current and potential investors in retirement plans to retain and capture customers by Ronaldo Andrade Deccax, Carlos Heitor Campani

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Novel Fusion Technique for High-Performance Automated Crop Edge Detection in Smart Agriculture by F. Martinez, James B. Romaine, P. Johnson, A. Cardona Ruiz, Pablo Millan Gata

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Comparison of Deep-Learning-Based Segmentation Models: Using Top View Person Images by Imran Ahmed, Misbah Ahmad, Fakhri Alam Khan, Muhammad Asif

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Brain tumor segmentation by deep learning transfer methods using MRI images by E.Y. Shchetinin

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Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentationMendeley Data by Anum Abdul Salam, Muhammad Zeeshan Asaf, Muhammad Usman Akram, Noah Musolff, Samavia Khan, Bassem Rafiq, Babar Rao

Subjects: “…Whole slide image segmentation…”
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Improving diagnostic precision in thyroid nodule segmentation from ultrasound images with a self-attention mechanism-based Swin U-Net model by Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu

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A Dual-Channel and Frequency-Aware Approach for Lightweight Video Instance Segmentation by Mingzhu Liu, Wei Zhang, Haoran Wei

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A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography by Sule Erdem, Suheda Erdem, Muammer Turkoglu, Abdulkadir Sengur, Nebras M. Sobahi

Subjects: “…radiological image segmentation…”
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High-performance laser speckle contrast image vascular segmentation without delicate pseudo-label reliance by Shenglan Yao, Huiling Wu, Suzhong Fu, Shuting Ling, Kun Wang, Hongqin Yang, Yaqin He, Xiaolan Ma, Xiaofeng Ye, Xiaofei Wen, Qingliang Zhao

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Enhancing Chronic Disease Prediction in IoMT-Enabled Healthcare 5.0 Using Deep Machine Learning: Alzheimer’s Disease as a Case Study by Rabia Javed, Tahir Abbas, Tariq Shahzad, Khadija Kanwal, Sadaqat Ali Ramay, Muhammad Adnan Khan, Khmaies Ouahada

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Optimal Coverage Path Planning for UAV-Assisted Multiple USVs: Map Modeling and Solutions by Shaohua Pan, Xiaosu Xu, Yi Cao, Liang Zhang

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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

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Applications of Deep Learning to MRI Images: A Survey by Jin Liu, Yi Pan, Min Li, Ziyue Chen, Lu Tang, Chengqian Lu, Jianxin Wang

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End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN by Gabriel David, Emmanuel Faure

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3D synergistic tumor-liver analysis further improves the efficacy prediction in hepatocellular carcinoma: a multi-center study by Yurong Jiang, Jiawei Zhang, Zhaochen Liu, Jinxiong Zhang, Xiangrong Yu, Danyan Lin, Dandan Dong, Mingyue Cai, Chongyang Duan, Shuyi Liu, Wenhui Wang, Yuan Chen, Qiyang Li, Weiguo Xu, Meiyan Huang, Sirui Fu

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