Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer by Chong Liu, Weiguang Wang, Jian Lian, Wanzhen Jiao

Subjects: “…medical image analysis…”
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Deep unsupervised clustering for prostate auto-segmentation with and without hydrogel spacer by Hengrui Zhao, Biling Wang, Michael Dohopolski, Ti Bai, Steve Jiang, Dan Nguyen

Subjects: “…medical image segmentation…”
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The Relevance of the Virchow Node and Virchow Triad in Renal Cancer Diagnosis by Luiza-Roxana Dorobantu-Lungu, Viviana Dinca, Andrei Gegiu, Dan Spataru, Andreea Toma, Luminita Welt, Mihaela Florentina Badea, Constantin Caruntu, Cristian Scheau, Ilinca Savulescu-Fiedler

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Decoding brain tumor insights: Evaluating CAM variants with 3D U-Net for segmentation by Dian Nova Kusuma Hardani, Igi Ardiyanto, Hanung Adi Nugroho

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Comparative Analysis of Edge Detection Operators Using a Threshold Estimation Approach on Medical Noisy Images with Different Complexities by Vladimir Maksimovic, Branimir Jaksic, Mirko Milosevic, Jelena Todorovic, Lazar Mosurovic

Subjects: “…medical image analysis…”
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BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation by David Jozef Hresko, Peter Drotar

Subjects: “…Medical image segmentation…”
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An effective vessel segmentation method using SLOA-HGC by Zerui Liu, Junliang Du, Weisi Dai, Wenke Zhu, Ziqing Ye, Lin Li, Zewei Liu, Linan Hu, Lin Chen, Lixiang Sun

Subjects: “…Artificial intelligence applied medical image processing…”
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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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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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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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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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Deep Learning Techniques in DICOM Files Classification: A Systematic Review by Mabirizi, Vicent, Kawuma, Simon, Natumanya, Deborah, Wasswa, William

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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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