AIMC Topic: Deep Learning

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Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.

Neural networks : the official journal of the International Neural Network Society Jul 23, 2023
Cognitive flexibility encompasses the ability to efficiently shift focus and forms a critical component of goal-directed attention. The neural substrates of this process are incompletely understood in part due to difficulties in sampling the involved...
Neural Pathways Electroencephalography Deep Learning Magnetic Resonance Imaging Attention Child Brain Mapping Connectome Humans Cognition Brain
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Exploring the perspective of infection clinicians on the integration of Large Language Models (LLMs) in clinical practice: A deep learning study in healthcare.

The Journal of infection Jul 23, 2023
Delivery of Health Care Language Deep Learning Humans Health Facilities
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Deep Learning-Based Motion Correction in Projection Domain for Coronary Computed Tomography Angiography: A Clinical Evaluation.

Journal of computer assisted tomography Jul 22, 2023
OBJECTIVE: This study aimed to evaluate the clinical performance of a deep learning-based motion correction algorithm (MCA) in projection domain for coronary computed tomography angiography (CCTA).
Coronary Angiography Tomography, X-Ray Computed Radiation Dosage Heart Rate Radiographic Image Interpretation, Computer-Assisted Deep Learning Computed Tomography Angiography Humans Algorithms
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Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm.

Journal of computer assisted tomography Jul 22, 2023
OBJECTIVE: To evaluate the image quality and lesion detectability of pancreatic phase thin-slice computed tomography (CT) images reconstructed with a deep learning-based reconstruction (DLR) algorithm compared with filtered-back projection (FBP) and ...
Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Pancreatic Neoplasms Algorithms Retrospective Studies Humans
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Follow-up of liver metastases: a comparison of deep learning and RECIST 1.1.

European radiology Jul 22, 2023
OBJECTIVES: To compare liver metastases changes in CT assessed by radiologists using RECIST 1.1 and with aided simultaneous deep learning-based volumetric lesion changes analysis.
Response Evaluation Criteria in Solid Tumors Liver Neoplasms Follow-Up Studies Tomography, X-Ray Computed Deep Learning Humans
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Accurate measurement of magnetic resonance parkinsonism index by a fully automatic and deep learning quantification pipeline.

European radiology Jul 22, 2023
OBJECTIVES: This study aims at a fully automatic pipeline for measuring the magnetic resonance parkinsonism index (MRPI) using deep learning methods.
Humans Deep Learning Parkinsonian Disorders Magnetic Resonance Spectroscopy Supranuclear Palsy, Progressive Magnetic Resonance Imaging Parkinson Disease
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RDDL: A systematic ensemble pipeline tool that streamlines balancing training schemes to reduce the effects of data imbalance in rare-disease-related deep-learning applications.

Computational biology and chemistry Jul 22, 2023
Identifying lowly prevalent diseases, or rare diseases, in their early stages is key to disease treatment in the medical field. Deep learning techniques now provide promising tools for this purpose. Nevertheless, the low prevalence of rare diseases e...
Deep Learning Rare Diseases Humans Software
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Exploiting Deep Learning to Enhance Tumour-conformed Delineation and Reduced Isotropic Margin in Radiotherapy: Updated ESTRO-EANO Guidelines.

Clinical oncology (Royal College of Radiologists (Great Britain)) Jul 22, 2023
Neoplasms Deep Learning Radiotherapy Planning, Computer-Assisted Radiation Oncology Humans
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Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location.

European journal of radiology Jul 22, 2023
PURPOSE: Computer-aided diagnosis (CAD), which assists in the interpretation of chest radiographs, is becoming common. However, few studies have evaluated the benefits and pitfalls of CAD in the real world. This study aimed to evaluate the independen...
Radiography, Thoracic Lung Neoplasms Multiple Pulmonary Nodules Radiography Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Lung Deep Learning Algorithms Sensitivity and Specificity Humans
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Combining hyperspectral imaging techniques with deep learning to aid in early pathological diagnosis of melanoma.

Photodiagnosis and photodynamic therapy Jul 22, 2023
BACKGROUND: Cutaneous melanoma, an exceedingly aggressive form of skin cancer, holds the top rank in both malignancy and mortality among skin cancers. In early stages, distinguishing malignant melanomas from benign pigmented nevi pathologically becom...
Melanoma Skin Neoplasms Deep Learning Humans Photosensitizing Agents Nevus, Pigmented Melanoma, Cutaneous Malignant Hyperspectral Imaging Photochemotherapy Early Detection of Cancer Diagnosis, Differential
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