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Showing 2059-2079 of 6,123 articles

A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma.

STUDY DESIGN: Retrospective analysis of magnetic resonance imaging (MRI).

May 2020 31809468

Machine Learning and Deep Neural Networks: Applications in Patient and Scan Preparation, Contrast Medium, and Radiation Dose Optimization.

Artificial intelligence (AI) algorithms are dependent on a high amount of robust data and the applic...

May 2020 32079904

Use of Artificial Intelligence to Reduce Radiation Exposure at Fluoroscopy-Guided Endoscopic Procedures.

OBJECTIVES: Exposure to ionizing radiation remains a hazard for patients and healthcare providers. W...

Apr 2020 32195731

Deep Learning AI Applications in the Imaging of Glioma.

This manuscript will review emerging applications of artificial intelligence, specifically deep lear...

Apr 2020 32271288

MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma in Mice.

Small-animal imaging is an essential tool that provides noninvasive, longitudinal insight into novel...

Mar 2020 32280747

An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

BACKGROUND: Although survival statistics in patients with glioblastoma multiforme (GBM) are well-def...

Feb 2020 31586211

Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier.

To assess whether application of a support vector machine learning algorithm to ancillary data obtai...

Feb 2020 31062114

PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data.

The integration of multi-modal data, such as histopathological images and genomic data, is essential...

Jan 2020 31797610

Automating Clinical Chart Review: An Open-Source Natural Language Processing Pipeline Developed on Free-Text Radiology Reports From Patients With Glioblastoma.

PURPOSE: The aim of this study was to develop an open-source natural language processing (NLP) pipel...

Jan 2020 31977252

SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.

BACKGROUND: Glioma is one of the most common and aggressive primary brain tumors that endanger human...

Jan 2020 32723244

Automated Intensity Modulated Radiation Therapy Treatment Planning for Cervical Cancer Based on Convolution Neural Network.

PURPOSE: To develop and evaluate an automatic intensity-modulated radiation therapy (IMRT) program f...

Jan 2020 33016230

LOCALIZATION OF IONIZING RADIATION SOURCES VIA AN AUTONOMOUS ROBOTIC SYSTEM.

The article discusses an autonomous and flexible robotic system for radiation monitoring. The detect...

Dec 2019 31792541

Applications of artificial intelligence in neuro-oncology.

PURPOSE OF REVIEW: To discuss recent applications of artificial intelligence within the field of neu...

Dec 2019 31609739

[A Case of Breast Cancer Liver Metastases with Jaundice Responding to Chemotherapy].

A 50-year-old woman was referred to our hospital due to breast cancer with multiple liver metastasis...

Dec 2019 32156965

[A Case of Two Curative Resections for the Peritoneal Dissemination of Transverse Colon Cancer].

No large clinical trials have been conducted to prove the efficacy of peritoneal dissemination resec...

Dec 2019 32156971

Machine learning approaches to study glioblastoma: A review of the last decade of applications.

BACKGROUND: Glioblastoma (GB, formally glioblastoma multiforme) is a malignant type of brain cancer ...

Dec 2019 32729254

Optimization of treatment strategy by using a machine learning model to predict survival time of patients with malignant glioma after radiotherapy.

The purpose of this study was to predict the survival time of patients with malignant glioma after r...

Nov 2019 31665445

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement.

BACKGROUND: Longitudinal measurement of glioma burden with MRI is the basis for treatment response a...

Nov 2019 31190077

Oncology/Hematology

Browse Categories

A Deep Convolutional Neural Network With Performance Comparable to Radiologists for Differentiating Between Spinal Schwannoma and Meningioma.

Machine Learning and Deep Neural Networks: Applications in Patient and Scan Preparation, Contrast Medium, and Radiation Dose Optimization.

Use of Artificial Intelligence to Reduce Radiation Exposure at Fluoroscopy-Guided Endoscopic Procedures.

Deep Learning AI Applications in the Imaging of Glioma.

MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma in Mice.

An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Computer-Aided Detection of Incidental Lumbar Spine Fractures from Routine Dual-Energy X-Ray Absorptiometry (DEXA) Studies Using a Support Vector Machine (SVM) Classifier.

PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data.

Automating Clinical Chart Review: An Open-Source Natural Language Processing Pipeline Developed on Free-Text Radiology Reports From Patients With Glioblastoma.

SDResU-Net: Separable and Dilated Residual U-Net for MRI Brain Tumor Segmentation.

Automated Intensity Modulated Radiation Therapy Treatment Planning for Cervical Cancer Based on Convolution Neural Network.

LOCALIZATION OF IONIZING RADIATION SOURCES VIA AN AUTONOMOUS ROBOTIC SYSTEM.

Applications of artificial intelligence in neuro-oncology.

[A Case of Breast Cancer Liver Metastases with Jaundice Responding to Chemotherapy].

[A Case of Two Curative Resections for the Peritoneal Dissemination of Transverse Colon Cancer].

Machine learning approaches to study glioblastoma: A review of the last decade of applications.

Optimization of treatment strategy by using a machine learning model to predict survival time of patients with malignant glioma after radiotherapy.

Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement.

A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients.

Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study.

Histogram analysis of absolute cerebral blood volume map can distinguish glioblastoma from solitary brain metastasis.

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