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ROC Curve
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Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer.
Cancer research and treatment
Jun 30, 2020
PURPOSE: Assessing the status of metastasis in sentinel lymph nodes (SLNs) by pathologists is an essential task for the accurate staging of breast cancer. However, histopathological evaluation of SLNs by a pathologist is not easy and is a tedious and...
Machine learning prediction of combat basic training injury from 3D body shape images.
PloS one
Jun 30, 2020
INTRODUCTION: Athletes and military personnel are both at risk of disabling injuries due to extreme physical activity. A method to predict which individuals might be more susceptible to injury would be valuable, especially in the military where basic...
Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.
European radiology
Jun 27, 2020
OBJECTIVES: To evaluate the differential diagnostic performance of a computed tomography (CT)-based deep learning nomogram (DLN) in identifying tuberculous granuloma (TBG) and lung adenocarcinoma (LAC) presenting as solitary solid pulmonary nodules (...
Adenocarcinoma of Lung
Diagnostic Tests, Routine
Observer Variation
Pattern Recognition, Automated
Calibration
Lung Neoplasms
Logistic Models
Nomograms
Age Factors
Solitary Pulmonary Nodule
Regression Analysis
Diagnosis, Differential
Granuloma
Tuberculosis
Sex Factors
Middle Aged
Diagnosis, Computer-Assisted
Deep Learning
ROC Curve
Image Processing, Computer-Assisted
Tomography, X-Ray Computed
Female
Adult
Male
Humans
Algorithms
Retrospective Studies
An Artificial Intelligence Model for Predicting 1-Year Survival of Bone Metastases in Non-Small-Cell Lung Cancer Patients Based on XGBoost Algorithm.
BioMed research international
Jun 27, 2020
Non-small-cell lung cancer (NSCLC) patients often develop bone metastases (BM), and the overall survival for these patients is usually perishing. However, a model with high accuracy for predicting the survival of NSCLC with BM is still lacking. Here,...
Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples.
Ophthalmology
Jun 26, 2020
PURPOSE: To illustrate what is inside the so-called black box of deep learning models (DLMs) so that clinicians can have greater confidence in the conclusions of artificial intelligence by evaluating adversarial explanation on its ability to explain ...
Truncated inception net: COVID-19 outbreak screening using chest X-rays.
Physical and engineering sciences in medicine
Jun 25, 2020
Since December 2019, the Coronavirus Disease (COVID-19) pandemic has caused world-wide turmoil in a short period of time, and the infection, caused by SARS-CoV-2, is spreading rapidly. AI-driven tools are used to identify Coronavirus outbreaks as wel...
Single-Cell Classification Using Mass Spectrometry through Interpretable Machine Learning.
Analytical chemistry
Jun 25, 2020
The brain consists of organized ensembles of cells that exhibit distinct morphologies, cellular connectivity, and dynamic biochemistries that control the executive functions of an organism. However, the relationships between chemical heterogeneity, c...
Serum markers improve current prediction of metastasis development in early-stage melanoma patients: a machine learning-based study.
Molecular oncology
Jun 24, 2020
Metastasis development represents an important threat for melanoma patients, even when diagnosed at early stages and upon removal of the primary tumor. In this scenario, determination of prognostic biomarkers would be of great interest. Serum contain...
A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections.
Journal of the American Academy of Dermatology
Jun 23, 2020
From Local to Global: A Graph Framework for Retinal Artery/Vein Classification.
IEEE transactions on nanobioscience
Jun 23, 2020
Fundus photography has been widely used for inspecting eye disorders by ophthalmologists or computer algorithms. Biomarkers related to retinal vessels plays an essential role to detect early diabetes. To quantify vascular biomarkers or the correspond...
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