AIMC Topic: ROC Curve

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Evaluation of Combined Cancer Markers With Lactate Dehydrogenase and Application of Machine Learning Algorithms for Differentiating Benign Disease From Malignant Ovarian Cancer.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2021
BACKGROUND: The differential diagnosis of ovarian cancer is important, and there has been ongoing research to identify biomarkers with higher performance. This study aimed to evaluate the diagnostic utility of combinations of cancer markers classifie...
Early Detection of Cancer Diagnosis, Differential Ovarian Neoplasms Lymphocytes L-Lactate Dehydrogenase CA-125 Antigen Biomarkers, Tumor Humans Leukocyte Count Middle Aged Machine Learning ROC Curve WAP Four-Disulfide Core Domain Protein 2 Female Membrane Proteins Adult Neutrophils
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Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.

Technology in cancer research & treatment Jan 1, 2021
Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are invasive and complex procedures with possible complications. This study aimed to determine models for CRC identification that involve minimally invas...
Aged Adult Colorectal Neoplasms Humans Biomarkers, Tumor Male Machine Learning Retrospective Studies Support Vector Machine Electronic Health Records Middle Aged Area Under Curve Female Case-Control Studies Diagnostic Tests, Routine ROC Curve Logistic Models
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Automated Identification of Dental Implants Using Artificial Intelligence.

The International journal of oral & maxillofacial implants Jan 1, 2021
PURPOSE: To develop and evaluate the accuracy of a computer-assisted system based on artificial intelligence for detecting and identifying dental implant brands using digital periapical radiographs.
Neural Networks, Computer Artificial Intelligence Algorithms ROC Curve Dental Implants
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Differentiation of Intrahepatic Cholangiocarcinoma and Hepatic Lymphoma Based on Radiomics and Machine Learning in Contrast-Enhanced Computer Tomography.

Technology in cancer research & treatment Jan 1, 2021
This study aimed to explore the ability of texture parameters combining with machine learning methods in distinguishing intrahepatic cholangiocarcinoma (ICCA) and hepatic lymphoma (HL). A total of 28 patients with HL and 101 patients with ICCA were...
Lymphoma Contrast Media Diagnosis, Differential Humans Neoplasm Grading Machine Learning Aged Tumor Burden Male Bile Duct Neoplasms Algorithms Middle Aged Cholangiocarcinoma Tomography, X-Ray Computed Radiographic Image Enhancement ROC Curve Female Image Processing, Computer-Assisted Reproducibility of Results
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Deep Learning Models for Gastric Signet Ring Cell Carcinoma Classification in Whole Slide Images.

Technology in cancer research & treatment Jan 1, 2021
Signet ring cell carcinoma (SRCC) of the stomach is a rare type of cancer with a slowly rising incidence. It tends to be more difficult to detect by pathologists, mainly due to its cellular morphology and diffuse invasion manner, and it has poor prog...
Area Under Curve Humans Carcinoma, Signet Ring Cell Supervised Machine Learning False Negative Reactions Stomach Neoplasms False Positive Reactions Deep Learning ROC Curve Computational Biology
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Dr. Answer AI for Prostate Cancer: Predicting Biochemical Recurrence Following Radical Prostatectomy.

Technology in cancer research & treatment Jan 1, 2021
OBJECTIVES: To develop a model to predict biochemical recurrence (BCR) after radical prostatectomy (RP), using artificial intelligence (AI) techniques.
Humans Neoplasm Recurrence, Local Artificial Intelligence Prostatectomy Software Aged Area Under Curve Aged, 80 and over Prostatic Neoplasms Adult Prostate-Specific Antigen Male Models, Biological Middle Aged ROC Curve Decision Trees
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Differentiating Small-Cell Lung Cancer From Non-Small-Cell Lung Cancer Brain Metastases Based on MRI Using Efficientnet and Transfer Learning Approach.

Technology in cancer research & treatment Jan 1, 2021
Differentiation between small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC) brain metastases is crucial due to the different clinical behaviors of the two tumor types. We propose the use of a deep learning and transfer learning appr...
Magnetic Resonance Imaging Diagnosis, Differential Image Interpretation, Computer-Assisted Small Cell Lung Carcinoma Retrospective Studies Female Brain Neoplasms Male Middle Aged ROC Curve Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Humans Machine Learning Prognosis
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Prediction of Radiation Pneumonitis With Machine Learning in Stage III Lung Cancer: A Pilot Study.

Technology in cancer research & treatment Jan 1, 2021
BACKGROUND: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy (RT). As risk factors in the development of RP, patient and tumor characteristics, dosimetric parameters, and treatment features are intertwined, and it is...
Humans Neural Networks, Computer Machine Learning Algorithms Prognosis Adult Male Middle Aged Pilot Projects ROC Curve Female Risk Factors Aged Aged, 80 and over Radiation Pneumonitis Lung Neoplasms Follow-Up Studies Bayes Theorem Radiotherapy
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Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study.

The Lancet. Digital health Jan 1, 2021
BACKGROUND: In current approaches to vision screening in the community, a simple and efficient process is needed to identify individuals who should be referred to tertiary eye care centres for vision loss related to eye diseases. The emergence of dee...
Eye Diseases Proof of Concept Study Photography Sensitivity and Specificity Male ROC Curve Humans Middle Aged Vision Disorders Algorithms Deep Learning Area Under Curve Female Singapore Aged Asian People
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Deep Neural Networks for Epistatic Sequence Analysis.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
We report a step-by-step protocol to use pysster, a TensorFlow-based package for building deep neural networks on a broad range of epistatic sequences such as DNA, RNA, or annotated secondary structure sequences. Pysster provides users comprehensive ...
Software Deep Learning ROC Curve Models, Genetic RNA Datasets as Topic Humans Base Sequence Epistasis, Genetic Sequence Analysis RNA Editing
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