AIMC Topic:
Image Interpretation, Computer-Assisted

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Interactive Classification of Whole-Slide Imaging Data for Cancer Researchers.

Cancer research Dec 21, 2020
Whole-slide histology images contain information that is valuable for clinical and basic science investigations of cancer but extracting quantitative measurements from these images is challenging for researchers who are not image analysis specialists...
Image Interpretation, Computer-Assisted Medical Oncology Datasets as Topic Neoplasms Image Processing, Computer-Assisted Lymphocytes, Tumor-Infiltrating Predictive Value of Tests Melanoma, Cutaneous Malignant Algorithms Reproducibility of Results Prognosis Sensitivity and Specificity Humans Female Breast Neoplasms Machine Learning Melanoma Biomedical Research Software Skin Neoplasms
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Image registration: Maximum likelihood, minimum entropy and deep learning.

Medical image analysis Dec 18, 2020
In this work, we propose a theoretical framework based on maximum profile likelihood for pairwise and groupwise registration. By an asymptotic analysis, we demonstrate that maximum profile likelihood registration minimizes an upper bound on the joint...
Humans Entropy Algorithms Deep Learning Imaging, Three-Dimensional Image Interpretation, Computer-Assisted
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Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection.

Scientific reports Dec 17, 2020
Recent advancements in deep learning have led to a resurgence of medical imaging and Electronic Medical Record (EMR) models for a variety of applications, including clinical decision support, automated workflow triage, clinical prediction and more. H...
Humans Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Electronic Health Records Clinical Decision-Making Disease Management Image Interpretation, Computer-Assisted Sensitivity and Specificity Image Processing, Computer-Assisted Workflow Pulmonary Embolism
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Artificial Intelligence in Thyroid Fine Needle Aspiration Biopsies.

Acta cytologica Dec 16, 2020
BACKGROUND: From cell phones to aerospace, artificial intelligence (AI) has wide-reaching influence in the modern age. In this review, we discuss the application of AI solutions to an equally ubiquitous problem in cytopathology - thyroid fine needle ...
Reproducibility of Results Humans Predictive Value of Tests Neural Networks, Computer Diagnosis, Computer-Assisted Machine Learning Image Interpretation, Computer-Assisted Biopsy, Fine-Needle Thyroid Neoplasms Diagnosis, Differential
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Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network.

Circulation. Cardiovascular imaging Dec 15, 2020
BACKGROUND: Pathological atrial fibrosis is a major contributor to sustained atrial fibrillation. Currently, late gadolinium enhancement (LGE) scans provide the only noninvasive estimate of atrial fibrosis. However, widespread adoption of atrial LGE ...
Observer Variation Automation Organometallic Compounds Fibrosis Heart Atria Heart Diseases Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Reproducibility of Results Contrast Media Magnetic Resonance Imaging Predictive Value of Tests
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Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders.

Journal of diabetes research Dec 15, 2020
OBJECTIVE: To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human graders (HG) in a longitudinal cohort, as case spectrum shifts based on treatment referral and new-onset DR.
Thailand Macular Edema Severity of Illness Index Image Interpretation, Computer-Assisted Aged Humans Cell Proliferation Deep Learning Photography Male Mass Screening Diabetic Retinopathy Incidence National Health Programs Middle Aged Longitudinal Studies Female Prevalence Predictive Value of Tests Reproducibility of Results Fundus Oculi
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Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections.

Scientific reports Dec 14, 2020
Fast and accurate confirmation of metastasis on the frozen tissue section of intraoperative sentinel lymph node biopsy is an essential tool for critical surgical decisions. However, accurate diagnosis by pathologists is difficult within the time limi...
Image Interpretation, Computer-Assisted Sentinel Lymph Node Biopsy Frozen Sections Adult Male Humans Retrospective Studies Middle Aged Female Neural Networks, Computer Neoplasms Aged Lymphatic Metastasis Aged, 80 and over
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Improved Glioma Grading Using Deep Convolutional Neural Networks.

AJNR. American journal of neuroradiology Dec 10, 2020
BACKGROUND AND PURPOSE: Accurate determination of glioma grade leads to improved treatment planning. The criterion standard for glioma grading is invasive tissue sampling. Recently, radiomic features have shown excellent potential in glioma-grade pre...
Humans Neural Networks, Computer Brain Neoplasms Glioma Neoplasm Grading Image Interpretation, Computer-Assisted
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A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 9, 2020
Non-alcoholic steatohepatitis (NASH) is a fatty liver disease characterized by accumulation of fat in hepatocytes with concurrent inflammation and is associated with morbidity, cirrhosis and liver failure. After extraction of a liver core biopsy, tis...
Child Staining and Labeling Decision Support Techniques Liver Cirrhosis Humans Retrospective Studies Liver Reproducibility of Results Neural Networks, Computer Clinical Decision-Making Predictive Value of Tests Azo Compounds Biopsy Male Aged Software Female Middle Aged Aged, 80 and over Non-alcoholic Fatty Liver Disease Severity of Illness Index Image Interpretation, Computer-Assisted Young Adult Coloring Agents Adult Adolescent Eosine Yellowish-(YS) Microscopy Hematoxylin Methyl Green
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Estimating myelin-water content from anatomical and diffusion images using spatially undersampled myelin-water imaging through machine learning.

NeuroImage Dec 8, 2020
Myelin is vital for healthy neuronal development, and can therefore provide valuable information regarding neuronal maturation. Anatomical and diffusion weighted images (DWI) possess information related to the myelin content and the current study inv...
Humans Neural Networks, Computer Machine Learning Brain Adult Neuroimaging Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Myelin Sheath Image Interpretation, Computer-Assisted Body Water
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