AIMC Topic: Cholangiocarcinoma

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Diagnosis of cholangiocarcinoma from microscopic hyperspectral pathological dataset by deep convolution neural networks.

Methods (San Diego, Calif.) Apr 8, 2021
This paper focuses on automatic Cholangiocarcinoma (CC) diagnosis from microscopic hyperspectral (HSI) pathological dataset with deep learning method. The first benchmark based on the microscopic hyperspectral pathological images is set up. Particula...
Humans Neural Networks, Computer Cholangiocarcinoma
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ASO Author Reflections: Identification of Intrahepatic Cholangiocarcinoma Clusters Using Machine Learning Techniques: Should Patients be Treated Differently?

Annals of surgical oncology Jun 26, 2020
Bile Ducts, Intrahepatic Humans Machine Learning Bile Duct Neoplasms Cholangiocarcinoma
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Artificial Intelligence in Cancer Staging: Limitless Potential or Passing Fad?

Annals of surgical oncology Jan 3, 2020
Treatment Outcome Neoplasm Staging Machine Learning Bile Duct Neoplasms Humans Prognosis Cholangiocarcinoma Clinical Decision-Making Surgeons
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ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies.

Annals of surgical oncology Nov 11, 2019
Machine Learning Prognosis Clinical Decision-Making Survival Rate Neoadjuvant Therapy Humans Bile Duct Neoplasms Cholangiocarcinoma
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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...
Humans Lymph Nodes Female Nomograms Calibration Adult Support Vector Machine Reproducibility of Results Cholangiocarcinoma Male Magnetic Resonance Imaging Aged Preoperative Care Middle Aged Aged, 80 and over ROC Curve
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Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.

European radiology May 15, 2019
OBJECTIVES: To develop a proof-of-concept "interpretable" deep learning prototype that justifies aspects of its predictions from a pre-trained hepatic lesion classifier.
Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Humans Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Female Aged Adult Male Magnetic Resonance Imaging Proof of Concept Study Predictive Value of Tests Cholangiocarcinoma Image Interpretation, Computer-Assisted Bile Ducts, Intrahepatic Bile Duct Neoplasms
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Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.

European radiology Apr 23, 2019
OBJECTIVES: To develop and validate a proof-of-concept convolutional neural network (CNN)-based deep learning system (DLS) that classifies common hepatic lesions on multi-phasic MRI.
Bile Duct Neoplasms Cholangiocarcinoma Bile Ducts, Intrahepatic Middle Aged Deep Learning ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Aged United States Humans Adult Magnetic Resonance Imaging Sensitivity and Specificity Image Interpretation, Computer-Assisted Male Neural Networks, Computer Female Reproducibility of Results
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Peanut testa extracts possessing histone deacetylase inhibitory activity induce apoptosis in cholangiocarcinoma cells.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie Dec 27, 2017
Previous studies demonstrated that peanut testa extracts (KK4 and ICG15042) containing natural histone deacetylase (HDAC) inhibitors inhibited the growth of several human cancer cell lines via apoptosis induction. The aims of this study were to inves...
Humans Cell Line, Tumor Plant Extracts Apoptosis Histone Deacetylase Inhibitors Dose-Response Relationship, Drug Cell Survival Arachis Cholangiocarcinoma
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Laparoscopic liver hanging maneuver through the retrohepatic tunnel on the right side of the inferior vena cava combined with a simple vascular occlusion technique for laparoscopic right hemihepatectomy.

Surgical endoscopy Dec 21, 2017
BACKGROUND: Laparoscopic hepatectomy has been performed in many hospitals, with the development of the laparoscopic operation technique. However, performing complex laparoscopic hepatectomy, such as right hemihepatectomy, is still a challenge. The ai...
Bile Duct Neoplasms Length of Stay Humans Blood Transfusion Aged Liver Neoplasms Cholangiocarcinoma Retrospective Studies Operative Time Adult Hemostasis, Surgical Carcinoma, Hepatocellular Female Laparoscopy Male Vena Cava, Inferior Blood Loss, Surgical Hepatectomy Middle Aged
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Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study.

Radiology Oct 23, 2017
Purpose To investigate diagnostic performance by using a deep learning method with a convolutional neural network (CNN) for the differentiation of liver masses at dynamic contrast agent-enhanced computed tomography (CT). Materials and Methods This cl...
ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Diagnosis, Differential Bile Duct Neoplasms Cholangiocarcinoma Aged Aged, 80 and over Sensitivity and Specificity Middle Aged Humans Retrospective Studies Neural Networks, Computer Tomography, X-Ray Computed Machine Learning Female
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