AFM-DViT: A framework for IoT-driven medical image analysis by Jiacheng Yang

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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

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Tumor detection on bronchoscopic images by unsupervised learning by Qingqing Liu, Haoliang Zheng, Zhiwei Jia, Zhihui Shi

Subjects: “…Medical image recognition…”
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Accuracy of an articulated head-and-neck motion model using deep learning-based instance segmentation of skeletal bones in CT scans for image registration in radiotherapy by Alexandra Walter, Cornelius J. Bauer, Ama Katseena Yawson, Philipp Hoegen-Saßmannshausen, Sebastian Adeberg, Jürgen Debus, Oliver Jäkel, Martin Frank, Kristina Giske

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Dual medical image watermarking using SRU-enhanced network and EICC chaotic map by Fei Yan, Zeqian Wang, Kaoru Hirota

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Multipurpose zero watermarking algorithm for medical image based on SVD and SAE by Jieli SUN, Yanxia ZHAO, Zenghui ZHOU, Sheng XING

Subjects: “…medical image…”
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Enhancing Thyroid Nodule Detection in Ultrasound Images: A Novel YOLOv8 Architecture with a C2fA Module and Optimized Loss Functions by Shidan Wang, Zi-An Zhao, Yuze Chen, Ye-Jiao Mao, James Chung-Wai Cheung

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An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy by Chunyun Xu, Yubao Shang, Yongwei Yang, Chengye Zou

Subjects: “…Medical image…”
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AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

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Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks by Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang

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Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms by Qiao Chang, Yuxing Bai, Shaofeng Wang, Fan Wang, Shuang Liang, Xianju Xie

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MUNet: a novel framework for accurate brain tumor segmentation combining UNet and mamba networks by Lijuan Yang, Lijuan Yang, Qiumei Dong, Da Lin, Chunfang Tian, Xinliang Lü

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FFUNet: A novel feature fusion makes strong decoder for medical image segmentation by Junsong Xie, Renju Zhu, Zezhi Wu, Jinling Ouyang

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GGLA-NeXtE2NET: A Dual-Branch Ensemble Network With Gated Global-Local Attention for Enhanced Brain Tumor Recognition by Adnan Saeed, Khurram Shehzad, Shahzad Sarwar Bhatti, Saim Ahmed, Ahmad Taher Azar

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Exploring BiomedCLIP’s Capabilities in Medical Image Analysis: A Focus on Scoliosis Detection and Severity Assessment by Bartosz Polis, Agnieszka Zawadzka-Fabijan, Robert Fabijan, Róża Kosińska, Emilia Nowosławska, Artur Fabijan

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UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification by Zeyu Ren, Xiangyu Kong, Yudong Zhang, Shuihua Wang

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Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

Subjects: “…Medical image preprocessing…”
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GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images by Sonam Aggarwal, Isha Gupta, Ashok Kumar, Sandeep Kautish, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Frank Werner, Mohammad Shokouhifar

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Deep learning-based malaria parasite detection: convolutional neural networks model for accurate species identification of Plasmodium falciparum and Plasmodium vivax by Diego A. Ramos-Briceño, Alessandro Flammia-D’Aleo, Gerardo Fernández-López, Fhabián S. Carrión-Nessi, David A. Forero-Peña

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Hybrid deep learning approach for brain tumor classification using EfficientNetB0 and novel quantum genetic algorithm by Kerem Gencer, Gülcan Gencer

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