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Showing 6490-6510 of 7,025 articles

Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology.

Tumor stage and grade, visually assessed by pathologists from evaluation of pathology images in conj...

Nov 2020 33166198

[Artificial intelligence and palliative care: opportunities and limitations.].

The so-called artificial intelligence tools applied to palliative care (machine learning, natural la...

Nov 2020 33205761

Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.

BACKGROUND: Hypopharyngeal and esophageal squamous cell carcinoma (ESCC) are the most common double ...

Oct 2020 33080677

Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review.

Although artificial intelligence (AI) was initially developed many years ago, it has experienced spe...

Oct 2020 33088156

Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population.

STUDY OBJECTIVES: To validate a previously developed sleep staging algorithm using heart rate variab...

Sep 2020 32249911

Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging: A Machine Learning Approach.

OBJECTIVE: To identify important clinical or imaging features predictive of an individual's response...

Sep 2020 32118692

Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol.

PURPOSE: To evaluate whether a three-phase dynamic contrast-enhanced CT protocol, when combined with...

Sep 2020 32232524

Assessing the Anti-cancer Therapeutic Mechanism of a Herbal Combination for Breast Cancer on System-level by a Network Pharmacological Approach.

BACKGROUND/AIM: Accumulating evidence has shown therapeutic effects of herbals on breast cancer, a c...

Sep 2020 32878798

Deep Convolutional Neural Networks for Thyroid Tumor Grading using Ultrasound B-mode Images.

The performances of deep convolutional neural network (DCNN) modeling and transfer learning (TF) for...

Sep 2020 33003892

Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology.

Reports are the standard way of communication between the radiologist and the referring clinician. E...

Aug 2020 32076924

Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

PURPOSE: Considerable progress has been made in the assessment and management of non-small cell lung...

Aug 2020 32185618

Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning.

The diagnosis of breast cancer in early stage is essential for successful treatment. Detection can b...

Aug 2020 32206943

Artificial intelligence in transplantation (machine-learning classifiers and transplant oncology).

PURPOSE OF REVIEW: To highlight recent efforts in the development and implementation of machine lear...

Aug 2020 32487887

Prediction of immune checkpoint inhibition with immune oncology-related gene expression in gastrointestinal cancer using a machine learning classifier.

Immune checkpoint inhibitors (ICIs) have revolutionized the therapeutic landscape of gastrointestina...

Aug 2020 32792359

A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables.

Benign normal (NL), premalignant (endometrial intraepithelial neoplasia, EIN) and malignant (cancer,...

Jul 2020 31157686

[Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].

To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-C...

Jul 2020 32610422

Collaborative, Multidisciplinary Evaluation of Cancer Variants Through Virtual Molecular Tumor Boards Informs Local Clinical Practices.

PURPOSE: The cancer research community is constantly evolving to better understand tumor biology, di...

Jul 2020 32644817

Oncology/Hematology

Browse Categories

Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology.

[Artificial intelligence and palliative care: opportunities and limitations.].

Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.

Application of artificial intelligence in the diagnosis and treatment of hepatocellular carcinoma: A review.

Automatic sleep staging using heart rate variability, body movements, and recurrent neural networks in a sleep disordered population.

Predicting Individual Remission After Electroconvulsive Therapy Based on Structural Magnetic Resonance Imaging: A Machine Learning Approach.

Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol.

Assessing the Anti-cancer Therapeutic Mechanism of a Herbal Combination for Breast Cancer on System-level by a Network Pharmacological Approach.

Deep Convolutional Neural Networks for Thyroid Tumor Grading using Ultrasound B-mode Images.

Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology.

Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms.

Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning.

Artificial intelligence in transplantation (machine-learning classifiers and transplant oncology).

Prediction of immune checkpoint inhibition with immune oncology-related gene expression in gastrointestinal cancer using a machine learning classifier.

A New Classification of Benign, Premalignant, and Malignant Endometrial Tissues Using Machine Learning Applied to 1413 Candidate Variables.

[Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].

Collaborative, Multidisciplinary Evaluation of Cancer Variants Through Virtual Molecular Tumor Boards Informs Local Clinical Practices.

A Brain Tumor Segmentation Framework Based on Outlier Detection Using One-Class Support Vector Machine.

Computer-Aided Diagonosis for Colorectal Cancer using Deep Learning with Visual Explanations.

Carcino-Net: A Deep Learning Framework for Automated Gleason Grading of Prostate Biopsies.

Interphase Cell Cycle Staging using Deep Learning.

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