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901,819+ results for "deep learning medical imaging" from openalex (0.47s)

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Framework to Support Radiologist Personnel in the Diagnosis of Diseases in Medical Images Using Deep Learning and Personalized DICOM Tags

Manuel Rodriguez Contreras, J. Patricia Sánchez-Solís, Gilberto Rivera et al.

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Simulating cross‐modal medical images using multi‐task adversarial learning of a deep convolutional neural network

Vikas Kumar, Manoj Kumar Sharma, R. Jehadeesan

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Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders

Nina Shvetsova, Bart Bakker, Irina Fedulova

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Automatic Segmentation of Organ at Risk in Head and Neck Cancer CT Images Using Medical Open Network for Artificial Intelligence (MONAI) with Deep Learning Techniques

Widyartha, I G.A, Ni Nyoman Ratini, Anak Agung Ngurah Gunawan et al.

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Deep Learning for Content-Based Medical Image Retrieval in Picture Archiving and Communication Systems for Brain Tumor Detection: Algorithm Development and Validation

Chin-Lin Lee, Tzu-Hsuan Hsu, Yu‐Te Wu

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MARL-MambaContour: Unleashing Multi-Agent Deep Reinforcement Learning for Active Contour Optimization in Medical Image Segmentation

Ruicheng Zhang, Yu Sun, Zeyu Zhang

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Deep learning in medical image analysis and multimodal learning for clinical decision support: 4th international workshop, DLMIA 2018, and 8th international workshop, ML-CDS 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, proceedings

Danail V. Stoyanov, Zeike A. Taylor, Gustavo Carneiro et al.

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Application of Medical Images for Melanoma Detection Using a Multi‐Architecture Convolutional Neural Network From a Deep Learning Approach

Justice Williams Asare, Emmanuel Akwah Kyei, Seth Alornyo et al.

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Hybrid Bayesian and deep learning-based degradation modeling for medical imaging equipment under multi-condition Internet of Medical Things data streams

Yushi Zhao, Hui Li, Zhenlin Li

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A systematic review of few-shot learning in medical imaging

Eva Pachetti, Sara Colantonio

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Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications

Dimitris Visvikis, Catherine Cheze Le Rest, Vincent Jaouen et al.

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ASAM-MedCTM: An Adaptive Semantic Alignment Memory-Based Hybrid Deep Learning Framework for Medical Image Classification

Srinivasan. J, Sathyanarayana. N, Mohan Kumar T G

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