The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

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Cross-Modal Augmented Transformer for Automated Medical Report Generation by Yuhao Tang, Ye Yuan, Fei Tao, Minghao Tang

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From Technical Prerequisites to Improved Care: Distributed Edge AI for Tomographic Imaging by Bilgehan Akdemir, Hafiz Faheem Shahid, Mikael A. K. Brix, Juho Laakkola, Johirul Islam, Tanesh Kumar, Jarmo Reponen, Miika T. Nieminen, Erkki Harjula

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A Novel Ensemble Meta-Model for Enhanced Retinal Blood Vessel Segmentation Using Deep Learning Architectures by Mohamed Chetoui, Moulay A. Akhloufi

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Combined Oriented Data Augmentation Method for Brain MRI Images by Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor

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A Precessing-Coin-like Rotary Actuator for Distal Endoscope Scanners: Proof-of-Concept Study by Nirvana Gharib, Mohammad Reza Yousefi Darestani, Kenichi Takahata

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Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms by Noémie N. Moreau, Noémie N. Moreau, Samuel Valable, Cyril Jaudet, Loïse Dessoude, Leleu Thomas, Romain Hérault, Romain Modzelewski, Romain Modzelewski, Dinu Stefan, Juliette Thariat, Juliette Thariat, Alexis Lechervy, Aurélien Corroyer-Dulmont, Aurélien Corroyer-Dulmont

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Monte Carlo Simulations in Nanomedicine: Advancing Cancer Imaging and Therapy by James C. L. Chow

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Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities by Abdullah Hosseini, Ahmed Serag

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YOLO-TumorNet: An innovative model for enhancing brain tumor detection performance by Jian Huang, Wen Ding, Tiancheng Zhong, Gang Yu

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VGG-16, VGG-16 With Random Forest, Resnet50 With SVM, and EfficientNetB0 With XGBoost-Enhancing Bone Fracture Classification in X-Ray Using Deep Learning Models by Spoorthy Torne, Dasharathraj K. Shetty, Krishnamoorthi Makkithaya, Prasiddh Hegde, Manu Sudhi, Phani Kumar Pullela, T Tamil Eniyan, Ritesh Kamath, Staissy Salu, Pranav Bhat, S. Girisha, P. S. Priya

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Analysis of preprocessing for Generative Adversarial Networks: A case study on color fundoscopy to fluorescein angiography image-to-image translation by Veena K.M., Veena Mayya, Rashmi Naveen Raj, Sulatha V. Bhandary, Uma Kulkarni

Subjects: “…Medical imaging…”
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Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning by Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu

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Enhancing Medical Image Classification With Context Modulated Attention and Multi-Scale Feature Fusion by Renhan Zhang, Xuegang Luo, Junrui Lv, Junyang Cao, Yangping Zhu, Juan Wang, Bochuan Zheng

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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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An algorithm for cardiac disease detection based on the magnetic resonance imaging by Heng Li, Qingni Yuan, Yi Wang, Pengju Qu, Chunhui Jiang, Hu Kuang

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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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