AIMC Topic: Male

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Ultrasonic liver steatosis quantification by a learning-based acoustic model from a novel shear wave sequence.

Biomedical engineering online Dec 21, 2019
BACKGROUND: An efficient and accurate approach to quantify the steatosis extent of liver is important for clinical practice. For the purpose, we propose a specific designed ultrasound shear wave sequence to estimate ultrasonic and shear wave physical...
Acoustics Shear Strength Triglycerides Phantoms, Imaging Ultrasonography Image Processing, Computer-Assisted Fatty Liver Models, Biological Humans Machine Learning Female Aged Young Adult Adult Male Middle Aged
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Single-stage posterior total en bloc spondylectomy in the treatment of lumbar spinal metastases.

Clinical neurology and neurosurgery Dec 20, 2019
OBJECTIVE: To report the clinical and radiographic outcomes of single-stage posterior total en bloc spondylectomy (TES) of lumbar spinal metastases.
Lumbar Vertebrae Cerebrospinal Fluid Leak Humans Adult Length of Stay Retrospective Studies Pain Measurement Low Back Pain Biomechanical Phenomena Rectal Neoplasms Liver Neoplasms Plastic Surgery Procedures Female Metastasectomy Male Surgical Wound Infection Lung Neoplasms Prostatic Neoplasms Aged Psoas Muscles Kidney Neoplasms Middle Aged Blood Loss, Surgical Neurosurgical Procedures Spinal Neoplasms Postoperative Complications Operative Time Spinal Nerve Roots
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Bone age determination using only the index finger: a novel approach using a convolutional neural network compared with human radiologists.

Pediatric radiology Dec 20, 2019
BACKGROUND: Recently developed convolutional neural network (CNN) models determine bone age more accurately than radiologists.
Age Determination by Skeleton Finger Phalanges Neural Networks, Computer Retrospective Studies Female Male Infant Adolescent Child, Preschool Child Image Processing, Computer-Assisted Datasets as Topic Humans
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Deep learning pathological microscopic features in endemic nasopharyngeal cancer: Prognostic value and protentional role for individual induction chemotherapy.

Cancer medicine Dec 20, 2019
BACKGROUND: To explore the prognostic value and the role for treatment decision of pathological microscopic features in patients with nasopharyngeal carcinoma (NPC) using the method of deep learning.
Male Middle Aged Risk Assessment Deep Learning China Humans Prognosis Retrospective Studies Female Adult Nasopharyngeal Neoplasms Endemic Diseases Nasopharynx Induction Chemotherapy Fluorouracil Image Processing, Computer-Assisted Progression-Free Survival Antineoplastic Combined Chemotherapy Protocols Radiotherapy, Intensity-Modulated Neoplasm Staging Kaplan-Meier Estimate Cisplatin Chemoradiotherapy
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Prostate Cancer Detection using Deep Convolutional Neural Networks.

Scientific reports Dec 20, 2019
Prostate cancer is one of the most common forms of cancer and the third leading cause of cancer death in North America. As an integrated part of computer-aided detection (CAD) tools, diffusion-weighted magnetic resonance imaging (DWI) has been intens...
Male Deep Learning ROC Curve Prostatic Neoplasms Diffusion Magnetic Resonance Imaging Humans Neural Networks, Computer
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Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.

IEEE journal of biomedical and health informatics Dec 19, 2019
The identification of sleep stages is essential in the diagnostics of sleep disorders, among which obstructive sleep apnea (OSA) is one of the most prevalent. However, manual scoring of sleep stages is time-consuming, subjective, and costly. To overc...
Humans Neural Networks, Computer Polysomnography Sleep Stages Middle Aged Deep Learning Electroencephalography Signal Processing, Computer-Assisted Sleep Apnea, Obstructive Female Aged Adult Male
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Efficient identification of novel anti-glioma lead compounds by machine learning models.

European journal of medicinal chemistry Dec 19, 2019
Glioblastoma multiforme (GBM) is the most devastating and widespread primary central nervous system tumor. Pharmacological treatment of this malignance is limited by the selective permeability of the blood-brain barrier (BBB) and relies on a single d...
Antineoplastic Agents Mice Nitrofurans Cell Proliferation Mice, Inbred C57BL Humans Glioma Apoptosis Models, Statistical Machine Learning Xenograft Model Antitumor Assays Female Tumor Cells, Cultured Animals Male
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Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 19, 2019
Multi-modality based classification methods are superior to the single modality based approaches for the automatic diagnosis of the Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, most of the multi-modality based methods usuall...
Aged, 80 and over Male Brain Mapping Multimodal Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Pattern Recognition, Automated Neuroimaging Humans Machine Learning Female Aged
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Deep Transfer Learning and Radiomics Feature Prediction of Survival of Patients with High-Grade Gliomas.

AJNR. American journal of neuroradiology Dec 19, 2019
BACKGROUND AND PURPOSE: Patient survival in high-grade glioma remains poor, despite the recent developments in cancer treatment. As new chemo-, targeted molecular, and immune therapies emerge and show promising results in clinical trials, image-based...
Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Prognosis Middle Aged Retrospective Studies Neuroimaging Deep Learning Female Cohort Studies Brain Neoplasms Glioma Male
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A hybrid automated treatment planning solution for esophageal cancer.

Radiation oncology (London, England) Dec 19, 2019
OBJECTIVE: This study aims to investigate a hybrid automated treatment planning (HAP) solution that combines knowledge-based planning (KBP) and script-based planning for esophageal cancer.
Humans Female Organs at Risk Radiotherapy Planning, Computer-Assisted Automation Radiotherapy Dosage Radiotherapy, Intensity-Modulated Adult Male Middle Aged Esophageal Neoplasms Knowledge Bases
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