AIMC Topic:
Image Interpretation, Computer-Assisted

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Semi-Supervised Nests of Melanocytes Segmentation Method Using Convolutional Autoencoders.

Sensors (Basel, Switzerland) Mar 11, 2020
In this research, we present a semi-supervised segmentation solution using convolutional autoencoders to solve the problem of segmentation tasks having a small number of ground-truth images. We evaluate the proposed deep network architecture for the ...
Skin Algorithms Humans Supervised Machine Learning Sensitivity and Specificity Melanoma Nevus Image Interpretation, Computer-Assisted Deep Learning Melanocytes
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Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer.

Scientific reports Mar 11, 2020
A major challenge in radiomics is assembling data from multiple centers. Sharing data between hospitals is restricted by legal and ethical regulations. Distributed learning is a technique, enabling training models on multicenter data without data lea...
Head and Neck Neoplasms Privacy Data Accuracy Image Interpretation, Computer-Assisted Deep Learning Papillomaviridae ROC Curve Papillomavirus Infections Humans Retrospective Studies Prognosis Tomography, X-Ray Computed Survival Rate
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Unsupervised Machine Learning in Pathology: The Next Frontier.

Surgical pathology clinics Mar 9, 2020
Applications of artificial intelligence and particularly deep learning to aid pathologists in carrying out laborious and qualitative tasks in histopathologic image analysis have now become ubiquitous. We introduce and illustrate how unsupervised mach...
Central Nervous System Diseases Humans Image Interpretation, Computer-Assisted Pathology, Clinical Deep Learning Unsupervised Machine Learning
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Multimodal neuroimaging-based prediction of adult outcomes in childhood-onset ADHD using ensemble learning techniques.

NeuroImage. Clinical Mar 7, 2020
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous neurodevelopmental disorder, which is diagnosed using subjective symptom reports. Machine learning classifiers have been utilized to assist in the development of ...
Magnetic Resonance Imaging Adult Image Interpretation, Computer-Assisted Humans Machine Learning Female Brain Mapping Multimodal Imaging Attention Deficit Disorder with Hyperactivity Male Child
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A fully automated hybrid human sperm detection and classification system based on mobile-net and the performance comparison with conventional methods.

Medical & biological engineering & computing Mar 6, 2020
Sperm morphology, as an indicator of fertility, is a critical tool in semen analysis. In this study, a smartphone-based hybrid system that fully automates the sperm morphological analysis is introduced with the aim of eliminating unwanted human facto...
Neural Networks, Computer Young Adult Adult Male Semen Analysis Deep Learning Image Interpretation, Computer-Assisted Spermatozoa Humans Smartphone Wavelet Analysis Support Vector Machine
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BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets.

Communications biology Mar 5, 2020
Understanding how cognitive functions emerge from brain structure depends on quantifying how discrete regions are integrated within the broader cortical landscape. Recent work established that macroscale brain organization and function can be describ...
Predictive Value of Tests Workflow Image Interpretation, Computer-Assisted Reproducibility of Results Magnetic Resonance Imaging Brain Mapping Nerve Net Diffusion Tensor Imaging Neocortex Humans Artificial Intelligence
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Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative adversarial networks.

PloS one Mar 5, 2020
Cytology is the first pathological examination performed in the diagnosis of lung cancer. In our previous study, we introduced a deep convolutional neural network (DCNN) to automatically classify cytological images as images with benign or malignant ...
Lung Neoplasms Data Accuracy Image Interpretation, Computer-Assisted Humans Lung Male Deep Learning Image Processing, Computer-Assisted
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Deep learning computer vision algorithm for detecting kidney stone composition.

BJU international Mar 3, 2020
OBJECTIVES: To assess the recall of a deep learning (DL) method to automatically detect kidney stones composition from digital photographs of stones.
Calcium Oxalate Struvite ROC Curve Humans Photography Uric Acid Algorithms Cystine Calcium Phosphates Deep Learning Image Interpretation, Computer-Assisted Kidney Calculi
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Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours.

European journal of radiology Mar 2, 2020
PURPOSE: To evaluate the performance of machine-learning-based computed tomography (CT) radiomic analysis to differentiate high-risk thymic epithelial tumours (TETs) from low-risk TETs according to the WHO classification.
Adult Male Middle Aged Image Interpretation, Computer-Assisted Neoplasms, Glandular and Epithelial ROC Curve Humans Area Under Curve Female Thymus Neoplasms Machine Learning Aged Thymus Gland Retrospective Studies Young Adult Tomography, X-Ray Computed
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DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images.

Medical & biological engineering & computing Mar 2, 2020
Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuable information with relation to cancer disease and its clinical outcomes. Still, there are no highly accurate automated methods to correlate histolopa...
Humans Neural Networks, Computer Brain Neoplasms Deep Learning Survival Analysis Image Interpretation, Computer-Assisted Histocytochemistry
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