AIMC Topic: Lymph Nodes

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Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.

Radiology Nov 19, 2019
Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve incre...
Retrospective Studies Female Aged Aged, 80 and over Young Adult Humans Neural Networks, Computer Algorithms Predictive Value of Tests Ultrasonography, Mammary Feasibility Studies Image Interpretation, Computer-Assisted Deep Learning Cohort Studies Lymph Nodes Lymphatic Metastasis Adult Sensitivity and Specificity Breast Neoplasms Middle Aged
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Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network.

Scientific reports Nov 15, 2019
Deep-UV (DUV) excitation fluorescence microscopy has potential to provide rapid diagnosis with simple technique comparing to conventional histopathology based on hematoxylin and eosin (H&E) staining. We established a fluorescent staining protocol for...
Biopsy Image Interpretation, Computer-Assisted Immunohistochemistry Fluorescent Antibody Technique Image Processing, Computer-Assisted Lymph Nodes Lymphatic Metastasis Microscopy, Fluorescence Machine Learning Software Algorithms Humans Neural Networks, Computer
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Development and external validation of a nomogram to predict lymph node invasion after robot assisted radical prostatectomy.

Urologic oncology Nov 12, 2019
BACKGROUND: Prediction of lymph node invasion (LNI) after radical prostatectomy has been rarely assessed in robotically assisted laparoscopic radical prostatectomy (RALP) series. We aimed to develop and externally validate a pretreatment nomogram for...
Humans Lymph Nodes Nomograms Robotics Prostatic Neoplasms Prostatectomy Reproducibility of Results Aged Male Middle Aged
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Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach.

The American journal of pathology Sep 18, 2019
The application of deep learning for the detection of lymph node metastases on histologic slides has attracted worldwide attention due to its potentially important role in patient treatment and prognosis. Despite this attention, false-positive predic...
Image Processing, Computer-Assisted Lung Neoplasms Lymph Nodes Pathology, Clinical Humans Algorithms Deep Learning ROC Curve Neoplasm Micrometastasis
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A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.

BJU international Aug 28, 2019
OBJECTIVES: To develop a machine learning (ML)-assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings...
Middle Aged Lymph Nodes Support Vector Machine Magnetic Resonance Imaging Prostatic Neoplasms Prostate Pelvis Lymph Node Excision Decision Trees Retrospective Studies Aged Aged, 80 and over Male Humans Machine Learning
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A radiomics approach based on support vector machine using MR images for preoperative lymph node status evaluation in intrahepatic cholangiocarcinoma.

Theranostics Jul 9, 2019
: Accurate lymph node (LN) status evaluation for intrahepatic cholangiocarcinoma (ICC) patients is essential for surgical planning. This study aimed to develop and validate a prediction model for preoperative LN status evaluation in ICC patients. : A...
ROC Curve Aged, 80 and over Cholangiocarcinoma Adult Preoperative Care Lymph Nodes Magnetic Resonance Imaging Male Nomograms Humans Middle Aged Calibration Support Vector Machine Female Reproducibility of Results Aged
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Local Interpretable Model-Agnostic Explanations for Classification of Lymph Node Metastases.

Sensors (Basel, Switzerland) Jul 5, 2019
An application of explainable artificial intelligence on medical data is presented. There is an increasing demand in machine learning literature for such explainable models in health-related applications. This work aims to generate explanations on ho...
Lymphatic Metastasis Models, Biological Humans Deep Learning Image Processing, Computer-Assisted Lymph Nodes Neural Networks, Computer Algorithms
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Prediction of early colorectal cancer metastasis by machine learning using digital slide images.

Computer methods and programs in biomedicine Jun 22, 2019
BACKGROUND AND OBJECTIVES: Prediction of lymph node metastasis (LNM) for early colorectal cancer (CRC) is critical for determining treatment strategies after endoscopic resection. Some histologic parameters for predicting LNM have been established, b...
Humans Risk Factors Aged Endoscopy Colorectal Neoplasms Machine Learning Algorithms Neoplasm Metastasis Retrospective Studies Immunohistochemistry Female Male False Negative Reactions Middle Aged False Positive Reactions Lymph Nodes Keratins Lymphatic Metastasis
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Artificial neural network models to predict nodal status in clinically node-negative breast cancer.

BMC cancer Jun 21, 2019
BACKGROUND: Sentinel lymph node biopsy (SLNB) is standard staging procedure for nodal status in breast cancer, but lacks therapeutic benefit for patients with benign sentinel nodes. For patients with positive sentinel nodes, individualized surgical s...
Breast Neoplasms Middle Aged Lymph Nodes Lymphatic Metastasis Tumor Burden Neovascularization, Pathologic Linear Models Axilla Area Under Curve Aged Aged, 80 and over Young Adult Adult Humans Neural Networks, Computer Retrospective Studies Female Receptors, Estrogen Sentinel Lymph Node Biopsy Carcinoma, Lobular
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CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classification.

Oral radiology Jun 13, 2019
OBJECTIVE: To clarify CT diagnostic performance in extranodal extension of cervical lymph node metastases using deep learning classification.
Tomography, X-Ray Computed Carcinoma, Squamous Cell Deep Learning Lymph Nodes Humans Lymphatic Metastasis Mouth Neoplasms Extranodal Extension
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