AIMC Topic:
Image Interpretation, Computer-Assisted

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Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers.

Medical image analysis Jul 23, 2020
With the tremendous development of artificial intelligence, many machine learning algorithms have been applied to the diagnosis of human cancers. Recently, rather than predicting categorical variables (e.g., stages and subtypes) as in cancer diagnosi...
Humans Prognosis Artificial Intelligence Image Interpretation, Computer-Assisted Algorithms Neoplasms
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Causality matters in medical imaging.

Nature communications Jul 22, 2020
Causal reasoning can shed new light on the major challenges in machine learning for medical imaging: scarcity of high-quality annotated data and mismatch between the development dataset and the target environment. A causal perspective on these issues...
Causality Diagnostic Imaging Image Interpretation, Computer-Assisted Humans Machine Learning
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Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening.

Acta cytologica Jul 21, 2020
BACKGROUND: In the face of rapid technological advances in computational cytology including artificial intelligence (AI), optimization of its application to clinical practice would benefit from reflection on the lessons learned from the decades-long ...
Image Interpretation, Computer-Assisted Artificial Intelligence Automation, Laboratory Early Detection of Cancer Female Humans Uterine Cervical Neoplasms Predictive Value of Tests Reproducibility of Results Workload Diagnosis, Computer-Assisted Workflow Papanicolaou Test Diffusion of Innovation Vaginal Smears
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Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses.

International journal of neural systems Jul 21, 2020
Visual neuroprosthesis, that provide electrical stimulation along several sites of the human visual system, constitute a potential tool for vision restoration for the blind. Scientific and technological progress in the fields of neural engineering an...
Visual Prosthesis Blindness Software Design Electrocorticography Equipment Design Image Interpretation, Computer-Assisted Retinal Ganglion Cells Cerebral Cortex Humans Deep Learning Models, Theoretical
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Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates.

European radiology Jul 18, 2020
OBJECTIVES: We aimed to evaluate the ability of feed-forward neural networks (fNNs) to predict the neurodevelopmental outcome (NDO) of very preterm neonates (VPIs) at 12 months corrected age by using biomarkers of cerebral MR proton spectroscopy (H-M...
Prospective Studies Brain Prognosis Humans Neural Networks, Computer Developmental Disabilities Magnetic Resonance Spectroscopy Infant Diffusion Tensor Imaging Female Infant, Premature, Diseases Predictive Value of Tests Infant, Newborn Image Interpretation, Computer-Assisted Sensitivity and Specificity Infant, Premature Male
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Neuro-fuzzy patch-wise R-CNN for multiple sclerosis segmentation.

Medical & biological engineering & computing Jul 17, 2020
The segmentation of the lesion plays a core role in diagnosis and monitoring of multiple sclerosis (MS). Magnetic resonance imaging (MRI) is the most frequent image modality used to evaluate such lesions. Because of the massive amount of data, manual...
Neuroimaging Biomedical Engineering Fuzzy Logic Brain Models, Statistical Deep Learning Multiple Sclerosis Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm.

The international journal of cardiovascular imaging Jul 16, 2020
To investigate the performance of a deep learning-based algorithm for fully automated quantification of left ventricular (LV) volumes and function in cardiac MRI. We retrospectively analysed MR examinations of 50 patients (74% men, median age 57 year...
Female Reproducibility of Results Aged Aged, 80 and over Young Adult Humans Retrospective Studies Feasibility Studies Heart Ventricles Heart Diseases Image Interpretation, Computer-Assisted Automation Magnetic Resonance Imaging, Cine Diagnosis, Computer-Assisted Deep Learning Adolescent Predictive Value of Tests Adult Male Ventricular Function, Left Middle Aged
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Radiomics and Artificial Intelligence for Renal Mass Characterization.

Radiologic clinics of North America Jul 16, 2020
Radiomics allows for high throughput extraction of quantitative data from images. This is an area of active research as groups try to capture and quantify imaging parameters and convert these into descriptive phenotypes of organs or tumors. Texture a...
Carcinoma, Renal Cell Magnetic Resonance Imaging Humans Diagnosis, Differential Artificial Intelligence Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Kidney Neoplasms Kidney
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A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas.

Scientific reports Jul 16, 2020
Glioblastoma is the most common malignant brain parenchymal tumor yet remains challenging to treat. The current standard of care-resection and chemoradiation-is limited in part due to the genetic heterogeneity of glioblastoma. Previous studies have i...
Image Interpretation, Computer-Assisted Isocitrate Dehydrogenase Preoperative Care Chromosomes, Human, Pair 10 Glioblastoma Gene Expression Mutation Aneuploidy Chromosomes, Human, Pair 7 X-linked Nuclear Protein Retrospective Studies Female Sensitivity and Specificity Biomarkers, Tumor Magnetic Resonance Imaging Cyclin-Dependent Kinase Inhibitor p16 Decision Trees Brain Neoplasms Male Humans Artificial Intelligence
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The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images.

Scientific reports Jul 15, 2020
Background Deep learning has presented considerable potential and is gaining more importance in computer assisted diagnosis. As the gold standard for pathologically diagnosing cervical intraepithelial lesions and invasive cervical cancer, colposcopy-...
Vaginal Smears Papillomavirus Infections Cervix Uteri Early Detection of Cancer Adult Uterine Cervical Neoplasms Humans Middle Aged Retrospective Studies Deep Learning Female Datasets as Topic Models, Statistical Uterine Cervical Dysplasia Neoplasm Grading Papillomaviridae Biopsy Colposcopy Image Interpretation, Computer-Assisted Squamous Intraepithelial Lesions
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