Oncology/Hematology

Breast Cancer

Latest AI and machine learning research in breast cancer for healthcare professionals.

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Exploring Value From the Patient's Perspective Between Modern Radiation Therapy Modalities for Localized Prostate Cancer.

PURPOSE: Patients' perspectives on their treatment experiences have not been compared between modern...

U.S. Department of Defense Multiple-Parameter Biodosimetry Network.

The U.S. Department of Defense (USDOD) service members are at risk of exposure to ionizing radiation...

Patterns of Recurrence After Postprostatectomy Fossa Radiation Therapy Identified by C-11 Choline Positron Emission Tomography/Computed Tomography.

PURPOSE: To evaluate C-11 choline positron emission tomography/computed tomography (CholPET) in stag...

Multi-atlas and unsupervised learning approach to perirectal space segmentation in CT images.

Perirectal space segmentation in computed tomography images aids in quantifying radiation dose recei...

Limited short-term effect of palliative radiation therapy on quantitative computed tomography-derived bone mineral density in femora with metastases.

PURPOSE: The aim of this study was to determine the effect of single fraction (SF) and multiple frac...

Mammogram Enhancement Using Intuitionistic Fuzzy Sets.

OBJECTIVE: Conventional mammogram enhancement methods use transform-domain filtering, which possibly...

Long-term results of adjuvant versus early salvage postprostatectomy radiation: A large single-institutional experience.

PURPOSE: The purpose of this study was to evaluate freedom from biochemical failure (FFBF), freedom ...

System Integration and In Vivo Testing of a Robot for Ultrasound Guidance and Monitoring During Radiotherapy.

We are developing a cooperatively controlled robot system for image-guided radiation therapy (IGRT) ...

Prediction of anti-cancer drug response by kernelized multi-task learning.

MOTIVATION: Chemotherapy or targeted therapy are two of the main treatment options for many types of...

Computer-assisted framework for machine-learning-based delineation of GTV regions on datasets of planning CT and PET/CT images.

We have proposed a computer-assisted framework for machine-learning-based delineation of gross tumor...

Classification of breast cancer patients using somatic mutation profiles and machine learning approaches.

BACKGROUND: The high degree of heterogeneity observed in breast cancers makes it very difficult to c...

Risk Assessment for Venous Thromboembolism in Chemotherapy-Treated Ambulatory Cancer Patients.

OBJECTIVE: To design a precision medicine approach aimed at exploiting significant patterns in data,...

Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data.

In this study we developed a graph based semi-supervised learning (SSL) scheme using deep convolutio...

Receiver operating curves and dose-volume analysis of late toxicity with stereotactic body radiation therapy for prostate cancer.

PURPOSE: The purpose of this study was to evaluate a receiver operating characteristic (ROC) curve m...

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