AIMC Topic: ROC Curve
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Deep Learning Role in Early Diagnosis of Prostate Cancer.
Technology in cancer research & treatment
Jan 1, 2018
The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features from diffusion-weighted ma...
A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis.
Studies in health technology and informatics
Jan 1, 2018
Lately, several studies started to investigate the existence of links between cannabis use and psychotic disorders. This work proposes a refined Machine Learning framework for understanding the links between cannabis use and 1st episode psychosis. Th...
Retinal Lesion Detection With Deep Learning Using Image Patches.
Investigative ophthalmology & visual science
Jan 1, 2018
PURPOSE: To develop an automated method of localizing and discerning multiple types of findings in retinal images using a limited set of training data without hard-coded feature extraction as a step toward generalizing these methods to rare disease d...
Automated System for Referral of Cotton-Wool Spots.
Current diabetes reviews
Jan 1, 2018
BACKGROUND: Cotton-wool spots also referred as soft exudates are the early signs of complications in the eye fundus of the patients suffering from diabetic retinopathy. Early detection of exudates helps in the diagnosis of the disease and provides be...
[Computer Aided Diagnosis system of breast ultrasound based on support vector machine: a clinical analysis].
Zhonghua yi xue za zhi
Dec 26, 2017
To investigate the value of based on support vector machine (SVM) breast ultrasonography technology of Computer-Assisted diagnosis (CAD) for differential diagnosis of benign and malignant breast masses. Total of 143 patients who had 151 breast mass...
[Support vector machine?assisted diagnosis of human malignant gastric tissues based on dielectric properties].
Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Dec 20, 2017
OBJECTIVE: To achieve differential diagnosis of normal and malignant gastric tissues based on discrepancies in their dielectric properties using support vector machine.
[Diagnostic value of urinary free cortisol in the subclinical Cushing's syndrome in patients with adrenal incidentaloma].
Zhonghua yi xue za zhi
Dec 12, 2017
To evaluate the efficacy of 24 h urinary free cortisol (24 h UFC) in the diagnosis of subclinical Cushing's syndrome (SCS), and explore the best diagnostic cut-off value. The clinical data of patients with adrenal incidentaloma in Chinese PLA Gener...
Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.
JAMA
Dec 12, 2017
IMPORTANCE: A deep learning system (DLS) is a machine learning technology with potential for screening diabetic retinopathy and related eye diseases.
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
JAMA
Dec 12, 2017
IMPORTANCE: Application of deep learning algorithms to whole-slide pathology images can potentially improve diagnostic accuracy and efficiency.
Thyroglobulin levels before radioactive iodine therapy and dynamic risk stratification after 1 year in patients with differentiated thyroid cancer.
Archives of endocrinology and metabolism
Dec 1, 2017
OBJECTIVES: We sought to assess the relationship between stimulated thyroglobulin (sTg) before radioactive iodine therapy (RIT), and the dynamic risk stratification 1 year after treatment, and to establish the utility of the sTg as a predictor of res...
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