AIMC Topic:
ROC Curve

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Prediction of ATP-binding sites in membrane proteins using a two-dimensional convolutional neural network.

Journal of molecular graphics & modelling Jul 15, 2019
Membrane proteins, the most important drug targets, account for around 30% of total proteins encoded by the genome of living organisms. An important role of these proteins is to bind adenosine triphosphate (ATP), facilitating crucial biological proce...
Algorithms Reproducibility of Results ROC Curve Computational Biology Databases, Protein Amino Acid Sequence Adenosine Triphosphate Membrane Proteins Models, Theoretical Neural Networks, Computer Machine Learning Binding Sites Amino Acid Motifs Web Browser Position-Specific Scoring Matrices
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Automated identification of malignancy in whole-slide pathological images: identification of eyelid malignant melanoma in gigapixel pathological slides using deep learning.

The British journal of ophthalmology Jul 13, 2019
BACKGROUND/AIMS: To develop a deep learning system (DLS) that can automatically detect malignant melanoma (MM) in the eyelid from histopathological sections with colossal information density.
Melanoma Deep Learning ROC Curve Eyelids Humans Artificial Intelligence Algorithms Retrospective Studies Eyelid Neoplasms
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Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017.

Journal of the American Academy of Dermatology Jul 12, 2019
BACKGROUND: Computer vision has promise in image-based cutaneous melanoma diagnosis but clinical utility is uncertain.
Israel Colombia Image Interpretation, Computer-Assisted Spain International Cooperation Internship and Residency Nevus Keratosis, Seborrheic Humans United States Melanoma Skin Neoplasms Diagnosis, Differential Skin Dermoscopy Dermatologists Cross-Sectional Studies Deep Learning ROC Curve
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Cross-Cell-Type Prediction of TF-Binding Site by Integrating Convolutional Neural Network and Adversarial Network.

International journal of molecular sciences Jul 12, 2019
Transcription factor binding sites (TFBSs) play an important role in gene expression regulation. Many computational methods for TFBS prediction need sufficient labeled data. However, many transcription factors (TFs) lack labeled data in cell types. W...
Protein Binding Neural Networks, Computer Organ Specificity Computational Biology Algorithms Binding Sites Transcription Factors Deep Learning Gene Expression Regulation ROC Curve
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Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video).

Gastrointestinal endoscopy Jul 11, 2019
BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve the efficiency of screening for esophageal squamous cell carcinoma (ESCC). Here, we developed and validated a novel system of computer-aided detection ...
Aged Young Adult Deep Learning Adult Humans Endoscopy, Gastrointestinal Male ROC Curve Image Interpretation, Computer-Assisted Female Middle Aged Predictive Value of Tests Pattern Recognition, Automated Reproducibility of Results Area Under Curve Esophageal Squamous Cell Carcinoma
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Referable diabetic retinopathy identification from eye fundus images with weighted path for convolutional neural network.

Artificial intelligence in medicine Jul 10, 2019
Diabetic retinopathy (DR) is the most common cause of blindness in middle-age subjects and low DR screening rates demonstrates the need for an automated image assessment system, which can benefit from the development of deep learning techniques. Ther...
Diagnosis, Computer-Assisted Deep Learning ROC Curve Fundus Oculi Humans Diabetic Retinopathy Neural Networks, Computer Sensitivity and Specificity
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A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma.

Theranostics Jul 9, 2019
: Accurate lymph node (LN) status evaluation for intrahepatic cholangiocarcinoma (ICC) patients is essential for surgical planning. This study aimed to develop and validate a prediction model for preoperative LN status evaluation in ICC patients. : A...
ROC Curve Aged, 80 and over Humans Magnetic Resonance Imaging Lymph Nodes Adult Calibration Female Nomograms Male Cholangiocarcinoma Reproducibility of Results Support Vector Machine Middle Aged Preoperative Care Aged
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A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection.

IEEE transactions on medical imaging Jul 8, 2019
Glaucoma is one of the leading causes of irreversible vision loss. Many approaches have recently been proposed for automatic glaucoma detection based on fundus images. However, none of the existing approaches can efficiently remove high redundancy in...
Humans Neural Networks, Computer Glaucoma Male Middle Aged ROC Curve Supervised Machine Learning Image Interpretation, Computer-Assisted Databases, Factual Female Aged Adult
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Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination.

Breast cancer research and treatment Jul 8, 2019
PURPOSE: The aim of this study is to explore new salivary biomarkers to discriminate breast cancer patients from healthy controls.
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Middle Aged ROC Curve Humans Metabolomics Machine Learning Saliva Adult Aged Clinical Decision-Making Breast Neoplasms Aged, 80 and over Female Cross-Sectional Studies
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Identifying depression in the National Health and Nutrition Examination Survey data using a deep learning algorithm.

Journal of affective disorders Jul 4, 2019
BACKGROUND: As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depressio...
ROC Curve Nutrition Surveys Male Middle Aged Deep Learning Depression Databases, Factual Republic of Korea Female Humans Risk Factors Neural Networks, Computer Adult Machine Learning Algorithms
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