AIMC Topic: Biopsy, Fine-Needle

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Disease prediction via Bayesian hyperparameter optimization and ensemble learning.

BMC research notes Apr 10, 2020
OBJECTIVE: Early disease screening and diagnosis are important for improving patient survival. Thus, identifying early predictive features of disease is necessary. This paper presents a comprehensive comparative analysis of different Machine Learning...
Humans Machine Learning Bayes Theorem Models, Biological Biopsy, Fine-Needle Diagnostic Techniques and Procedures Female Sensitivity and Specificity Breast Neoplasms Cardiovascular Diseases
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Ultrasound Image-Based Diagnosis of Malignant Thyroid Nodule Using Artificial Intelligence.

Sensors (Basel, Switzerland) Mar 25, 2020
Computer-aided diagnosis systems have been developed to assist doctors in diagnosing thyroid nodules to reduce errors made by traditional diagnosis methods, which are mainly based on the experiences of doctors. Therefore, the performance of such syst...
Ultrasonography Thyroid Nodule Image Interpretation, Computer-Assisted Biopsy, Fine-Needle Artificial Intelligence Diagnosis, Computer-Assisted Thyroid Gland Thyroid Neoplasms Humans Neural Networks, Computer
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Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?

Acta oncologica (Stockholm, Sweden) Mar 9, 2020
The current standard for evaluating axillary nodal burden in clinically node negative breast cancer is sentinel lymph node biopsy (SLNB). However, the accuracy of SLNB to detect nodal stage N2-3 remains debatable. Nomograms can help the decision-mak...
Adult Breast Neoplasms Middle Aged ROC Curve Female Aged Aged, 80 and over Lymphatic Metastasis Neoplasm Invasiveness Lymph Node Excision Axilla Logistic Models Lymph Nodes Nomograms Humans Machine Learning Retrospective Studies Carcinoma, Ductal, Breast Sentinel Lymph Node Biopsy, Fine-Needle Sentinel Lymph Node Biopsy Regression Analysis Breast Tumor Burden
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Application of a machine learning algorithm to predict malignancy in thyroid cytopathology.

Cancer cytopathology Feb 3, 2020
BACKGROUND: The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) comprises 6 categories used for the diagnosis of thyroid fine-needle aspiration biopsy (FNAB). Each category has an associated risk of malignancy, which is important in the ...
Biopsy, Fine-Needle Adenocarcinoma, Follicular ROC Curve Pathologists Cytodiagnosis Humans Machine Learning Algorithms Reproducibility of Results Thyroid Gland Thyroid Neoplasms Thyroid Nodule
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Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.

Computers in biology and medicine Oct 16, 2019
PURPOSE: To determine whether deep learning-based algorithms applied to breast MR images can aid in the prediction of occult invasive disease following the diagnosis of ductal carcinoma in situ (DCIS) by core needle biopsy.
Biopsy, Fine-Needle Adult Breast Neoplasms Middle Aged Deep Learning Humans Support Vector Machine Retrospective Studies Magnetic Resonance Imaging Female Predictive Value of Tests Aged Carcinoma, Ductal, Breast
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Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression.

Journal of medical systems Jul 3, 2019
Nowadays, the most frequent cancer in women is breast cancer (malignant tumor). If breast cancer is detected at the beginning stage, it can often be cured. Many researchers proposed numerous methods for early prediction of this Cancer. In this paper,...
Humans Machine Learning Female Breast Neoplasms Diagnosis, Computer-Assisted Early Detection of Cancer Regression Analysis Biopsy, Fine-Needle
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Artificial intelligence in cytopathology: a review of the literature and overview of commercial landscape.

Journal of the American Society of Cytopathology Mar 25, 2019
Artificial intelligence (AI) has made impressive strides recently in interpreting complex images, thanks to improvements in deep learning techniques and increasing computational power. Researchers have started applying these advanced techniques to pa...
Cytodiagnosis Biopsy, Fine-Needle Decision Support Systems, Clinical Papanicolaou Test Vaginal Smears Humans Computational Biology Female Neoplasms Deep Learning
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Comparative assessment of CNN architectures for classification of breast FNAC images.

Tissue & cell Feb 5, 2019
Fine needle aspiration cytology (FNAC) entails using a narrow gauge (25-22 G) needle to collect a sample of a lesion for microscopic examination. It allows a minimally invasive, rapid diagnosis of tissue but does not preserve its histological archite...
Deep Learning Humans Image Interpretation, Computer-Assisted Female Biopsy, Fine-Needle Breast Neoplasms
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Evaluating classification accuracy for modern learning approaches.

Statistics in medicine Jan 30, 2019
Deep learning neural network models such as multilayer perceptron (MLP) and convolutional neural network (CNN) are novel and attractive artificial intelligence computing tools. However, evaluation of the performance of these methods is not readily av...
Probability Biopsy, Fine-Needle Humans Biostatistics Leukemia Female Breast Neoplasms Support Vector Machine Deep Learning Decision Trees Logistic Models Discriminant Analysis
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Computational Optics Enables Breast Cancer Profiling in Point-of-Care Settings.

ACS nano Aug 20, 2018
The global burden of cancer, severe diagnostic bottlenecks in underserved regions, and underfunded health care systems are fueling the need for inexpensive, rapid, and treatment-informative diagnostics. On the basis of advances in computational optic...
Image Processing, Computer-Assisted Breast Neoplasms Humans Biopsy, Fine-Needle Point-of-Care Systems Algorithms Deep Learning Cell Line, Tumor Female
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