Other Cancers

Antibiotic therapy in patients with high prostate-specific antigen: Is it worth considering? A systematic review.

: To address the question of whether antibiotic therapy can obviate the need for prostate biopsy (PB...

Label-Free Estimation of Therapeutic Efficacy on 3D Cancer Spheres Using Convolutional Neural Network Image Analysis.

Despite recent advances in cancer treatment, developing better therapeutic reagents remains an essen...

Identification of genes of four malignant tumors and a novel prediction model development based on PPI data and support vector machines.

Triple-negative breast cancer (TNBC), colon adenocarcinoma (COAD), ovarian cancer (OV), and glioblas...

Texture analysis and multiple-instance learning for the classification of malignant lymphomas.

BACKGROUND AND OBJECTIVES: Malignant lymphomas are cancers of the immune system and are characterize...

A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning.

Brain tumor is one of the most death defying diseases nowadays. The tumor contains a cluster of abno...

Preparing for Artificial Intelligence: Systems-Level Implications for the Medical Imaging and Radiation Therapy Professions.

Innovations in artificial intelligence (AI) are driving a new industrial revolution, and as a result...

Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ.

PURPOSE: To determine whether deep learning-based algorithms applied to breast MR images can aid in ...

A Super-Learner Model for Tumor Motion Prediction and Management in Radiation Therapy: Development and Feasibility Evaluation.

In cancer radiation therapy, large tumor motion due to respiration can lead to uncertainties in tumo...

An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine.

Super-resolution, which is one of the trend issues of recent times, increases the resolution of the ...

Outpatient Anesthesia Facilitates Stereotactic Body Radiation Therapy for Early Stage Lung Cancer Patients With Advanced Cognitive Impairments.

PURPOSE: To report on the use of outpatient anesthesia (OPA) facilitating delivery of stereotactic b...

Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation.

Liver and hepatic tumor segmentation remains a challenging problem in Computer Tomography (CT) image...

Classification and Diagnosis of Thyroid Carcinoma Using Reinforcement Residual Network with Visual Attention Mechanisms in Ultrasound Images.

How to differentiate thyroid cancer nodules from a large number of benign nodules is always a challe...

Re: Lorenzo Marconi, Thomas Stonier, Rafael Tourinho-Barbosa, et al. Robot-assisted Radical Prostatectomy After Focal Therapy: Oncological, Functional Outcomes and Predictors of Recurrence. Eur Urol 2019;76:27-30: Salvage Robotic Radical Prostatectomy for Recurrent Prostate Cancer After Focal Therapy.

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal.

Differential gene expression analysis is an important technique for understanding disease states. Th...

The Use of Transdermal Estrogen in Castrate-resistant, Steroid-refractory Prostate Cancer.

BACKGROUND: Androgen-deprivation therapy is the mainstay of treatment for metastatic prostate cancer...

Segmentation and Diagnosis of Liver Carcinoma Based on Adaptive Scale-Kernel Fuzzy Clustering Model for CT Images.

Medical image analysis plays an important role in computer-aided liver-carcinoma diagnosis. Aiming a...

De novo Gastrinoma: A Case Report.

Gastrinomas are neuroendocrine tumors characterized by gastrin overexpression - 80% are sporadic and...

Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy.

Gaps in colonoscopy skills among endoscopists, primarily due to experience, have been identified, an...

Extracting comprehensive clinical information for breast cancer using deep learning methods.

OBJECTIVE: Breast cancer is the most common malignant tumor among women. The diagnosis and treatment...

Interval between planning and frameless stereotactic radiosurgery for brain metastases: are our margins still accurate?

BACKGROUND: Advances in intracranial stereotactic radiosurgery (SRS) have led to dramatically reduce...

A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network.

Magnetic resonance imaging (MRI) images can be used to diagnose brain tumors. Thanks to these images...