Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline.

The early identification of malignant pulmonary nodules is critical for a better lung cancer prognos...

Nov 2019 31710985
Poly(ethylene glycol)-poly(ε-caprolactone)-based micelles for solubilization and tumor-targeted delivery of silibinin.

Silibinin is a naturally occurring compound with known positive impacts on prevention and treatment...

Nov 2019 32363152
Robot-assisted Nipple-sparing Mastectomy with Immediate Breast Reconstruction: An Initial Experience.

Seeking smaller and indistinct incisions, physicians have attempted endoscopic breast surgery in bre...

Oct 2019 31666551
A 3D Probabilistic Deep Learning System for Detection and Diagnosis of Lung Cancer Using Low-Dose CT Scans.

We introduce a new computer aided detection and diagnosis system for lung cancer screening with low-...

Oct 2019 31675322
Toward Automated Bladder Tumor Stratification Using Confocal Laser Endomicroscopy.

Urothelial carcinoma of the bladder (UCB) is the most common urinary cancer. White-light cystoscopy...

Oct 2019 31657629
A hierarchical sequential neural network with feature fusion for sleep staging based on EOG and RR signals.

OBJECTIVE: Currently, the automatic sleep staging methods mainly face two problems: the first proble...

Oct 2019 31394522
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...

Oct 2019 32082627
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...

Oct 2019 31645679
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...

Oct 2019 31678792
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...

Oct 2019 31643004
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 ...

Oct 2019 31698241
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...

Oct 2019 31619736
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...

Oct 2019 31669758
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...

Oct 2019 31602537
De novo Gastrinoma: A Case Report.

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

Oct 2019 32509925
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...

Oct 2019 31594962
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...

Oct 2019 32626589
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...

Sep 2019 31586812
Comparison of CT and MRI images for the prediction of soft-tissue sarcoma grading and lung metastasis via a convolutional neural networks model.

AIM: To realise the automated prediction of soft-tissue sarcoma (STS) grading and lung metastasis ba...

Sep 2019 31575409
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