Oncology/Hematology

Background factors and short-term health-related quality of life in patients who initially underwent radical prostatectomy or androgen deprivation therapy for localized prostate cancer in a Japanese prospective observational study (J-CaP Innovative Study-1).

BACKGROUND: This prospective observational study elucidated the usefulness of hormonal therapy for localized prostate cancer. Background factors and the health-related quality of life in patients who initially underwent radical prostatectomy (RP) or primary androgen deprivation therapy (PADT) for localized prostate cancer are summarized.

Classification of breast cancer histology images using Convolutional Neural Networks.

Breast cancer is one of the main causes of cancer death worldwide. The diagnosis of biopsy tissue with hematoxylin and eosin stained images is non-trivial and specialists often disagree on the final diagnosis. Computer-aided Diagnosis systems contribute to reduce the cost and increase the efficiency of this process. Conventional classification approaches rely on feature extraction methods designed...

and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing, which can be exploited for personalized cancer i...

Is it possible for knowledge-based planning to improve intensity modulated radiation therapy plan quality for planners with different planning experiences in left-sided breast cancer patients?

BACKGROUND: Knowledge-based planning (KBP) is a promising technique that can improve plan quality and increase planning efficiency. However, no attemp...

DeepPap: Deep Convolutional Networks for Cervical Cell Classification.

Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effective cell imaging based cancer detection tool, wh...

Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT.

Machine learning applications for personalized medicine are highly dependent on access to sufficient data. For personalized radiation oncology, datase...

Epithelial-mesenchymal transition effect of fine particulate matter from the Yangtze River Delta region in China on human bronchial epithelial cells.

Epidemiological studies have demonstrated that fine particulate matter (PM) exposure causes airway inflammation, which may lead to lung cancer. The ac...

A structured latent model for ovarian carcinoma subtyping from histopathology slides.

Accurate subtyping of ovarian carcinomas is an increasingly critical and often challenging diagnostic process. This work focuses on the development of...

Laparoscopic versus robotic surgery for hepatocellular carcinoma: the first 46 consecutive cases.

BACKGROUND: Hepatocellular carcinoma has a growing incidence worldwide, and represents a leading cause of death in patients with cirrhosis. Nowadays, ...

Label-free isolation of prostate circulating tumor cells using Vortex microfluidic technology.

There has been increased interest in utilizing non-invasive "liquid biopsies" to identify biomarkers for cancer prognosis and monitoring, and to isola...

Regarding "Robotic Versus Laparoscopic Staging for Early Ovarian Cancer: A Case-matched Control Study".

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.

BACKGROUND: Segmentation of gliomas in multi-parametric (MP-)MR images is challenging due to their heterogeneous nature in terms of size, appearance a...

Differentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine Learning.

BACKGROUND AND PURPOSE: Accurate preoperative differentiation of primary central nervous system lymphoma and enhancing glioma is essential to avoid un...

Radiofrequency Ablation Followed by Percutaneous Ethanol Ablation Leading to Long-Term Remission of Hyperparathyroidism.

A 30-year-old male with cerebral palsy and motor impairment presented with right femur fracture. He had gradually worsening mobility and contractures ...

3D Microtissue Models to Analyze the Effects of Ultralow Dose LPS on Vascular Sprouting Dynamics in the Tumor Microenvironment.

Lipopolysaccharide (LPS) plays a major role in innate immune responses and has been shown to impact vascular dynamics when present at high concentrati...

Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach.

Machine learning systems have recently received increased attention for their broad applications in several fields. In this study, we show for the fir...

Metastasis detection from whole slide images using local features and random forests.

Digital pathology has led to a demand for automated detection of regions of interest, such as cancerous tissue, from scanned whole slide images. With ...

[Artificial intelligence applied to radiation oncology].

Performing randomised comparative clinical trials in radiation oncology remains a challenge when new treatment modalities become available. One of the...

Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection.

Different types of breast cancer are affecting lives of women across the world. Common types include Ductal carcinoma in situ (DCIS), Invasive ductal ...

A neural controller for online laser power adjustment during the heat therapy process in the presence of nanoparticles.

The present research evaluated the efficiency of a control approach to control the temperature of a breast tumor mass in the presence of nanoparticles...