AIMC Topic: Sensitivity and Specificity

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Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.

Radiology Oct 8, 2019
Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic support for human interpretation requires further evaluation. Purpose To compare t...
Magnetic Resonance Imaging Predictive Value of Tests Prostatic Neoplasms Biopsy Humans Retrospective Studies Male Middle Aged Deep Learning Aged Sensitivity and Specificity
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Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy.

Scientific reports Oct 8, 2019
Gaps in colonoscopy skills among endoscopists, primarily due to experience, have been identified, and solutions are critically needed. Hence, the development of a real-time robust detection system for colorectal neoplasms is considered to significant...
Humans Colorectal Neoplasms Colonoscopy Deep Learning Retrospective Studies Sensitivity and Specificity Computer Systems Image Processing, Computer-Assisted
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Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images.

EBioMedicine Oct 5, 2019
OBJECTIVE: To develop a deep convolutional neural network (DCNN) that can automatically detect laryngeal cancer (LCA) in laryngoscopic images.
Laryngoscopy Laryngeal Neoplasms Sensitivity and Specificity Humans Diagnosis, Computer-Assisted Deep Learning Reproducibility of Results Image Processing, Computer-Assisted Models, Theoretical
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Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.

Digestive diseases and sciences Oct 4, 2019
BACKGROUND: Early detection of early gastric cancer (EGC) allows for less invasive cancer treatment. However, differentiating EGC from gastritis remains challenging. Although magnifying endoscopy with narrow band imaging (ME-NBI) is useful for differ...
Gastritis False Positive Reactions Gastroscopy Narrow Band Imaging Retrospective Studies Radiographic Magnification Female Sensitivity and Specificity Stomach Neoplasms Male Humans Early Detection of Cancer Neural Networks, Computer Diagnosis, Differential
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[Prediction of chemotherapy response in primary osteosarcoma using the machine learning technique on radiomic data].

Bulletin du cancer Oct 3, 2019
INTRODUCTION: Osteosarcoma is the most common malignant bone tumor before 25 years of age. Response to neoadjuvant chemotherapy determines continuation of treatment and is also a powerful prognostic factor. There are currently no reliable ways to eva...
Bone Neoplasms Predictive Value of Tests France Analysis of Variance Chemotherapy, Adjuvant Treatment Outcome Neoadjuvant Therapy Magnetic Resonance Imaging Osteosarcoma Infant, Newborn Young Adult Sensitivity and Specificity Male Child, Preschool Child Antineoplastic Combined Chemotherapy Protocols Humans Infant Machine Learning Adolescent Retrospective Studies Female
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A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy.

PloS one Oct 2, 2019
PURPOSE: Development of a supervised machine-learning model capable of predicting clinically relevant molecular subtypes of pancreatic ductal adenocarcinoma (PDAC) from diffusion-weighted-imaging-derived radiomic features.
Leucovorin Middle Aged Antineoplastic Combined Chemotherapy Protocols Adult Gemcitabine Oxaliplatin Humans Survival Rate Neoplasm Proteins Irinotecan Machine Learning Carcinoma, Pancreatic Ductal Pancreatic Neoplasms Sensitivity and Specificity Fluorouracil Retrospective Studies Keratins, Hair-Specific Disease-Free Survival Male Female Keratins, Type II Deoxycytidine
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Computer-Aided Diagnosis in Histopathological Images of the Endometrium Using a Convolutional Neural Network and Attention Mechanisms.

IEEE journal of biomedical and health informatics Oct 1, 2019
Uterine cancer (also known as endometrial cancer) can seriously affect the female reproductive system, and histopathological image analysis is the gold standard for diagnosing endometrial cancer. Due to the limited ability to model the complicated re...
Sensitivity and Specificity Deep Learning Humans Endometrium Neural Networks, Computer Image Interpretation, Computer-Assisted Algorithms Histological Techniques Female
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Endoscopic detection and differentiation of esophageal lesions using a deep neural network.

Gastrointestinal endoscopy Oct 1, 2019
BACKGROUND AND AIMS: Diagnosing esophageal squamous cell carcinoma (SCC) depends on individual physician expertise and may be subject to interobserver variability. Therefore, we developed a computerized image-analysis system to detect and differentia...
Aged Aged, 80 and over Adult Sensitivity and Specificity Male Humans Neural Networks, Computer Female Reproducibility of Results Optical Imaging Esophageal Squamous Cell Carcinoma Esophageal Diseases Narrow Band Imaging Middle Aged Deep Learning Image Processing, Computer-Assisted Esophagus Neoplasm Invasiveness Esophageal Neoplasms Observer Variation Precancerous Conditions
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Automatic Seizure Detection Based on S-Transform and Deep Convolutional Neural Network.

International journal of neural systems Sep 30, 2019
Automatic seizure detection is significant for the diagnosis of epilepsy and reducing the massive workload of reviewing continuous EEGs. In this work, a novel approach, combining Stockwell transform (S-transform) with deep Convolutional Neural Networ...
Signal Processing, Computer-Assisted Cerebral Cortex Electrocorticography Sensitivity and Specificity Deep Learning Epilepsy Seizures Humans Adult
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Validation of an alcohol misuse classifier in hospitalized patients.

Alcohol (Fayetteville, N.Y.) Sep 28, 2019
BACKGROUND: Current modes of identifying alcohol misuse in hospitalized patients rely on self-report questionnaires and diagnostic codes that have limitations, including low sensitivity. Information in the clinical notes of the electronic health reco...
Humans Supervised Machine Learning Alcoholism Electronic Health Records Middle Aged Female Inpatients Reproducibility of Results Case-Control Studies Natural Language Processing Adult Tertiary Care Centers Sensitivity and Specificity Male
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