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Showing 4705-4725 of 6,933 articles

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.

We aim at segmenting a wide variety of organs, including tiny targets (e.g., adrenal gland), and neo...

Jul 2019 31352338

Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging.

BACKGROUND: We attempted to train and validate a model of deep learning for the preoperative predict...

Jul 2019 31332558

Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

PURPOSE: To effectively grade hepatocellular carcinoma (HCC) based on deep features derived from dif...

Jul 2019 31169907

Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach.

Scintillation camera images contain a large amount of Poisson noise. We have investigated whether no...

Jul 2019 31324711

Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning.

Histopathological images contain morphological markers of disease progression that have diagnostic a...

Jul 2019 31324828

A preliminary study of using a deep convolution neural network to generate synthesized CT images based on CBCT for adaptive radiotherapy of nasopharyngeal carcinoma.

This study aims to utilize a deep convolutional neural network (DCNN) for synthesized CT image gener...

Jul 2019 31170699

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.

The development of decision support systems for pathology and their deployment in clinical practice ...

Jul 2019 31308507

Improving palliative and end-of-life care with machine learning and routine data: a rapid review.

Improving end-of-life (EOL) care is a priority worldwide as this population experiences poor outcom...

Jul 2019 32002512

The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images.

According to diagnostic criteria, skin tumors can be divided into three categories: benign, low degr...

Jul 2019 31300897

Image-Guided Robotic Radiosurgery for Treatment of Recurrent Grade II and III Meningiomas. A Single-Center Study.

OBJECTIVE: Stereotactic radiosurgery (SRS) has been increasingly applied for malignant meningiomas a...

Jul 2019 31306844

Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video).

BACKGROUND AND AIMS: Few artificial intelligence-based technologies have been developed to improve t...

Jul 2019 31302091

Characterization and potential antitumor effect of a heteropolysaccharide produced by the red alga .

Taking into account the rising trend of the incidence of cancers of various organs, effective therap...

Jul 2019 32624987

Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.

Classification of benign-malignant lung nodules on chest CT is the most critical step in the early d...

Jul 2019 31352126

Future of Radiotherapy in Nasopharyngeal Carcinoma.

Nasopharyngeal carcinoma (NPC) is a malignancy with unique clinical biological profiles such as asso...

Jul 2019 31265322

Assessing micrometastases as a target for nanoparticles using 3D microscopy and machine learning.

Metastasis of solid tumors is a key determinant of cancer patient survival. Targeting micrometastase...

Jul 2019 31285340

Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression.

Nowadays, the most frequent cancer in women is breast cancer (malignant tumor). If breast cancer is ...

Jul 2019 31270634

Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.

IMPORTANCE: Early palliative care interventions drive high-value care but currently are underused. H...

Jul 2019 31298717

Improved Deep Learning Network Based in combination with Cost-sensitive Learning for Early Detection of Ovarian Cancer in Color Ultrasound Detecting System.

With the development of theories and technologies in medical imaging, most of the tumors can be dete...

Jun 2019 31254110

Oncology/Hematology

Browse Categories

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.

Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging.

Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach.

Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning.

A preliminary study of using a deep convolution neural network to generate synthesized CT images based on CBCT for adaptive radiotherapy of nasopharyngeal carcinoma.

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.

Improving palliative and end-of-life care with machine learning and routine data: a rapid review.

The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images.

Image-Guided Robotic Radiosurgery for Treatment of Recurrent Grade II and III Meningiomas. A Single-Center Study.

Using a deep learning system in endoscopy for screening of early esophageal squamous cell carcinoma (with video).

Characterization and potential antitumor effect of a heteropolysaccharide produced by the red alga .

Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.

Future of Radiotherapy in Nasopharyngeal Carcinoma.

Assessing micrometastases as a target for nanoparticles using 3D microscopy and machine learning.

Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression.

Development and Validation of a Deep Learning Algorithm for Mortality Prediction in Selecting Patients With Dementia for Earlier Palliative Care Interventions.

CT texture analysis for the prediction of KRAS mutation status in colorectal cancer via a machine learning approach.

Lung Cancer Detection using Probabilistic Neural Network with modified Crow-Search Algorithm.

Robotic technology for palliative and supportive care: Strengths, weaknesses, opportunities and threats.

Improved Deep Learning Network Based in combination with Cost-sensitive Learning for Early Detection of Ovarian Cancer in Color Ultrasound Detecting System.

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