Integrating manual annotation with deep transfer learning and radiomics for vertebral fracture analysis by Jing Wang, Zhirui Dong, Huanxin He, Zhiyang Gao, Yukai Huang, Guangcheng Yuan, Libo Jiang, Mingdong Zhao

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Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers by Hui Shang, Tao Feng, Dong Han, Fengying Liang, Bin Zhao, Lihang Xu, Zhendong Cao

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RapidBenthos: Automated segmentation and multi‐view classification of coral reef communities from photogrammetric reconstruction by Tiny Remmers, Nader Boutros, Mathew Wyatt, Sophie Gordon, Maren Toor, Chris Roelfsema, Katharina Fabricius, Alana Grech, Marine Lechene, Renata Ferrari

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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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Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis by Rosanna Cavazzana, Angelo Faccia, Aurora Cavallaro, Marco Giuranno, Sara Becchi, Chiara Innocente, Giorgia Marullo, Elia Ricci, Jacopo Secco, Enrico Vezzetti, Luca Ulrich

Subjects: “…automatic segmentation…”
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Implication of tumor morphology and MRI characteristics on the accuracy of automated versus human segmentation of GBM areas by Valeria Cerina, Chiara Benedetta Rui, Andrea Di Cristofori, Davide Ferlito, Giorgio Carrabba, Carlo Giussani, Gianpaolo Basso, Elisabetta De Bernardi

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