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Oncology-Hematology Subcategories: Brain Cancer Breast Cancer Chemotherapy Colon Cancer Lung Cancer Other Cancers Prostate Cancer Skin Cancer

Showing 4537-4557 of 8,444 articles

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.

BACKGROUND: Preoperative evaluation of the number of lymph node metastasis (LNM) is the basis of ind...

Apr 2020 PMID: 32304748

Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines.

Remodeling of tissue microvasculature commonly promotes neoplastic growth; however, there is no imag...

Apr 2020 PMID: 32289884

Machine learning identifies 10 feature miRNAs for lung squamous cell carcinoma.

Lung squamous cell carcinoma (LUSC) is a common type of malignancy. The mechanism behind its tumor p...

Apr 2020 PMID: 32298761

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.

Cancer classification is a topic of major interest in medicine since it allows accurate and efficien...

Apr 2020 PMID: 33816921

Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.

PURPOSE: We aimed to propose a highly automatic and objective model named deep learning Radiomics of...

Apr 2020 PMID: 32339983

Emerging role of deep learning-based artificial intelligence in tumor pathology.

The development of digital pathology and progression of state-of-the-art algorithms for computer vis...

Apr 2020 PMID: 32277744

Automated Detection and Grading of Non-Muscle-Invasive Urothelial Cell Carcinoma of the Bladder.

Accurate grading of non-muscle-invasive urothelial cell carcinoma is of major importance; however, h...

Apr 2020 PMID: 32283104

IOUC-3DSFCNN: Segmentation of Brain Tumors via IOU Constraint 3D Symmetric Full Convolution Network with Multimodal Auto-context.

Accurate segmentation of brain tumors from magnetic resonance (MR) images play a pivot role in assis...

Apr 2020 PMID: 32277141

Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging.

Ultrasound molecular imaging (UMI) is enabled by targeted microbubbles (MBs), which are highly refle...

Apr 2020 PMID: 32286963

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer.

Quantitative assessment of spatial relations between tumor and tumor-infiltrating lymphocytes (TIL) ...

Apr 2020 PMID: 32277893

Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis.

Radiomics is an emerging field that involves extraction and quantification of features from medical ...

Apr 2020 PMID: 32249351

The views of physicians and nurses on the potentials of an electronic assessment system for recognizing the needs of patients in palliative care.

OBJECTIVES: Patients in oncological and palliative care (PC) often have complex needs, which require...

Apr 2020 PMID: 32247316

Machine Learning in oncology: A clinical appraisal.

Machine learning (ML) is a branch of artificial intelligence centered on algorithms which do not nee...

Apr 2020 PMID: 32251707

Towards fully automated third molar development staging in panoramic radiographs.

Staging third molar development is commonly used for age assessment in sub-adults. Current staging t...

Apr 2020 PMID: 32239317

A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms.

Immunohistochemistry (IHC) is a diagnostic technique used throughout pathology. A machine learning a...

Apr 2020 PMID: 32238879

Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

Although deep learning algorithms have demonstrated expert-level performance, previous efforts were ...

Mar 2020 PMID: 32243882

Oncology/Hematology

Browse Categories

Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.

Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines.

Machine learning identifies 10 feature miRNAs for lung squamous cell carcinoma.

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data.

Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.

Emerging role of deep learning-based artificial intelligence in tumor pathology.

Automated Detection and Grading of Non-Muscle-Invasive Urothelial Cell Carcinoma of the Bladder.

IOUC-3DSFCNN: Segmentation of Brain Tumors via IOU Constraint 3D Symmetric Full Convolution Network with Multimodal Auto-context.

Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging.

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer.

Radiomics in gliomas: clinical implications of computational modeling and fractal-based analysis.

The views of physicians and nurses on the potentials of an electronic assessment system for recognizing the needs of patients in palliative care.

Machine Learning in oncology: A clinical appraisal.

Towards fully automated third molar development staging in panoramic radiographs.

A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms.

Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

Diagnosis of Thyroid Nodule with New Ultrasound Imaging Modalities.

Deep Learning Based on MRI for Differentiation of Low- and High-Grade in Low-Stage Renal Cell Carcinoma.

Brain tumor classification using modified local binary patterns (LBP) feature extraction methods.

Ultrasound Image-Based Diagnosis of Malignant Thyroid Nodule Using Artificial Intelligence.

Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture.

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