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Showing 7666-7686 of 15,647 articles

Feasibility of automated planning for whole-brain radiation therapy using deep learning.

PURPOSE: The purpose of this study was to develop automated planning for whole-brain radiation thera...

Dec 2020 PMID: 33340391

Imaging Beyond Seeing: Early Prognosis of Cancer Treatment.

Assessing cancer response to therapeutic interventions has been realized as an important course to e...

Dec 2020 PMID: 34927817

Three-Dimensional Vessel Segmentation in Whole-Tissue and Whole-Block Imaging Using a Deep Neural Network: Proof-of-Concept Study.

In the field of pathology, micro-computed tomography (micro-CT) has become an attractive imaging mod...

Dec 2020 PMID: 33345996

Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study.

Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-t...

Dec 2020 PMID: 33080578

A physics-guided modular deep-learning based automated framework for tumor segmentation in PET.

An important need exists for reliable positron emission tomography (PET) tumor-segmentation methods ...

Dec 2020 PMID: 32235059

Denoising Autoencoder, A Deep Learning Algorithm, Aids the Identification of A Novel Molecular Signature of Lung Adenocarcinoma.

Precise biomarker development is a key step in disease management. However, most of the published bi...

Dec 2020 PMID: 33346087

Necrotic enteritis challenge regulates peroxisome proliferator-1 activated receptors signaling and β-oxidation pathways in broiler chickens.

Necrotic enteritis (NE) is an important enteric disease in poultry and has become a major concern in...

Dec 2020 PMID: 33997353

ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.

Magnetic resonance imaging (MRI) is an increasingly important tool for the diagnosis and treatment o...

Dec 2020 PMID: 33385701

Laparoscopic cryoablation for small renal masses: Oncological outcomes at 5-year follow-up.

: To evaluate the oncological outcome at 5-year follow-up after laparoscopic cryoablation (LCA) for ...

Dec 2020 PMID: 34104491

Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach.

Automatic sigmoid colon segmentation in CT for radiotherapy treatment planning is challenging due to...

Dec 2020 PMID: 33383333

NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image.

Nonnegative sparse representation has become a popular methodology in medical analysis and diagnosis...

Dec 2020 PMID: 33490248

Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry.

BACKGROUND: The Kentucky Cancer Registry (KCR) is a central cancer registry for the state of Kentuck...

Dec 2020 PMID: 33319710

Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging.

The diagnosis of gastrointestinal stromal tumor (GIST) using conventional endoscopy is difficult bec...

Dec 2020 PMID: 33318595

Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections.

Fast and accurate confirmation of metastasis on the frozen tissue section of intraoperative sentinel...

Dec 2020 PMID: 33318495

The Prevalence of Euthyroid Hypertriiodothyroninemia in Newly Diagnosed Multiple Myeloma and its Clinical Characteristics.

OBJECTIVE: To evaluate the prevalence of euthyroid hypertriiodothyroninemia and/or hyperthyroxinemia...

Dec 2020 PMID: 33779557

Perceptions of Canadian radiation oncologists, radiation physicists, radiation therapists and radiation trainees about the impact of artificial intelligence in radiation oncology - national survey.

BACKGROUND: Artificial Intelligence (AI) is making a continuous progression into the field of Radiat...

Dec 2020 PMID: 33323332

Browse Categories

Feasibility of automated planning for whole-brain radiation therapy using deep learning.

Imaging Beyond Seeing: Early Prognosis of Cancer Treatment.

Three-Dimensional Vessel Segmentation in Whole-Tissue and Whole-Block Imaging Using a Deep Neural Network: Proof-of-Concept Study.

Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study.

A physics-guided modular deep-learning based automated framework for tumor segmentation in PET.

Denoising Autoencoder, A Deep Learning Algorithm, Aids the Identification of A Novel Molecular Signature of Lung Adenocarcinoma.

Necrotic enteritis challenge regulates peroxisome proliferator-1 activated receptors signaling and β-oxidation pathways in broiler chickens.

ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.

Laparoscopic cryoablation for small renal masses: Oncological outcomes at 5-year follow-up.

Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach.

NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image.

Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry.

Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging.

Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections.

The Prevalence of Euthyroid Hypertriiodothyroninemia in Newly Diagnosed Multiple Myeloma and its Clinical Characteristics.

Perceptions of Canadian radiation oncologists, radiation physicists, radiation therapists and radiation trainees about the impact of artificial intelligence in radiation oncology - national survey.

Weight-bearing CT in foot and ankle pathology.

3D deep learning based classification of pulmonary ground glass opacity nodules with automatic segmentation.

Predicting potential residues associated with lung cancer using deep neural network.

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images.

Artificial intelligence-based imaging analytics and lung cancer diagnostics: Considerations for health system leaders.

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