Oncology/Hematology

[Effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells and the underlying mechanisms].

To investigate the effect of Brucea javanica oil emulsion on proliferation, migration and autophagy of non-small cell lung cancer A549 cells.
 Methods: First, A549 cells were divided into a control group and a low, medium or high dose of Brucea javanica oil emulsion groups (0, 2.5, 5.0 or 10.0 mg/mL); then, the cells were divided into a 3-MA+Brucea javanica oil emulsion group and a Brucea javanica...

[Laparoscopy combined with total intersphincteric resection for extremely low rectal cancer].

To investigate the feasibility and therapeutic effect of laparoscopy combined with total intersphincteric resection (Total-ISR) for extremely low rectal cancer.
 Methods: We performed laparoscopy combined with Total-ISR in 45 patients with extremely low rectal cancer (1.0 cm≤the lower edge of tumor to the anal edge≤3.0 cm) from January 2014 to December 2016. The operation time, blood loss, resecti...

Machine learning analyses can differentiate meningioma grade by features on magnetic resonance imaging.

OBJECTIVEPrognostication and surgical planning for WHO grade I versus grade II meningioma requires thoughtful decision-making based on radiographic ev...

Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.

OBJECTIVEGlioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) are common intracranial pathologies encountered by neurosurgeons. They...

Analysis of the advantages and disadvantages in application of oxygen-driven aerosol and aerosol inhalation by air compressor for the pediatric asthma.

Present study is done to analyze the advantages and disadvantages in application of oxygen-driven aerosol and aerosol inhalation by air compressor for...

Multidisciplinary team for the diagnosis and treatment of 2 cases of primary intestinal yolk sac tumor.

Extragonadal primary yolk sac tumor of the intestinal tract origin is exceedingly rare. Through a multiple disciplinary team, the diagnosis and treatm...

Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks.

The purposes of this study are to evaluate the feasibility of protocol determination with a convolutional neural networks (CNN) classifier based on sh...

SegAN: Adversarial Network with Multi-scale L Loss for Medical Image Segmentation.

Inspired by classic Generative Adversarial Networks (GANs), we propose a novel end-to-end adversarial neural network, called SegAN, for the task of me...

Deep Learning-Based Computer-Aided Diagnosis System for Localization and Diagnosis of Metastatic Lymph Nodes on Ultrasound: A Pilot Study.

BACKGROUND: The presence of metastatic lymph nodes is a prognostic indicator for patients with thyroid carcinomas and is an important determinant of c...

[COLONSCORE: THE USE OF MACHINE LEARNING OF BIG DATA TO DETECT COLORECTAL CANCER].

The use of big data is in its first years of entering the medical world. Big data research enables analysis of very large volumes of data, identifying...

A machine learning approach for somatic mutation discovery.

Variability in the accuracy of somatic mutation detection may affect the discovery of alterations and the therapeutic management of cancer patients. T...

Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.

BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiation therapy prognosis. This study assessed whether...

[Accuracy analysis of robotic assistant needle placement for lateral skull base biopsy].

To evaluate the accuracy and feasibility of a custom robot system guided by navigation for lateral skull base tumor biopsy. Two cadaver heads were u...

[Robot-assisted vs laparoscopic gastric bypass : First experiences with the DaVinci system in bariatric surgery].

Conventional laparoscopy is the gold standard in bariatric surgery. Internationally, robot-assisted surgery is gaining in importance. Up to now there ...

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning.

Convolutional neural networks (CNNs) have achieved state-of-the-art performance for automatic medical image segmentation. However, they have not demon...

Degradation of textile dyes Remazol Yellow Gold and reactive Turquoise: optimization, toxicity and modeling by artificial neural networks.

In this work, the degradation of Remazol Yellow Gold RNL-150% and Reactive Turquoise Q-G125 were investigated using AOP: photolysis, UV/HO, Fenton and...

Deep Learning Models Differentiate Tumor Grades from H&E Stained Histology Sections.

Aberration in tissue architecture is an essential index for cancer diagnosis and tumor grading. Therefore, extracting features of aberrant phenotypes ...

Cell Classification in ER-Stained Whole Slide Breast Cancer Images Using Convolutional Neural Network.

Hormone receptor status in breast carcinoma is determined primarily to identify patients who may benefit from hormonal therapy. Estrogen receptor (ER)...

Patch-level Tumor Classification in Digital Histopathology Images with Domain Adapted Deep Learning.

Tumor histopathology is a crucial step in cancer diagnosis which involves visual inspection of imaging data to detect the presence of tumor cells amon...

Using Multi-level Convolutional Neural Network for Classification of Lung Nodules on CT images.

Lung cancer is one of the four major cancers in the world. Accurate diagnosing of lung cancer in the early stage plays an important role to increase t...