Pathology

Private naive bayes classification of personal biomedical data: Application in cancer data analysis.

Clinicians would benefit from access to predictive models for diagnosis, such as classification of tumors as malignant or benign, without compromising patients' privacy. In addition, the medical institutions and companies who own these medical information systems wish to keep their models private when in use by outside parties. Fully homomorphic encryption (FHE) enables computation over encrypted ...

Sensitive electrochemical detection of gp120 based on the combination of NBD-556 and gp120.

As is known, the employment of molecular imprinting polymer (MIP) as specific sensing materials in sensors, namely MIP-based sensors. In this contribution, we devised a MIP electrochemical sensor for the detection of variable-format conformations protein gp120. The sensor was constructed by using a grapheme-like carbon nanfragment (CNF) and bismuth oxides composites (CNF-Bi) as decoration material...

Neuroprotective role of 6-Gingerol-rich fraction of Zingiber officinale (Ginger) against acrylonitrile-induced neurotoxicity in male Wistar rats.

Background Acrylonitrile (AN) is a neurotoxin that is widely used to manufacture synthetic fibres, plastics and beverage containers. Recently, we repo...

Sparse coding of pathology slides compared to transfer learning with deep neural networks.

BACKGROUND: Histopathology images of tumor biopsies present unique challenges for applying machine learning to the diagnosis and treatment of cancer. ...

Development of competitive lateral flow immunoassay coupled with silver enhancement for simple and sensitive salivary cortisol detection.

Cortisol is known as a stress biomarker. The measurement of cortisol levels is an early warning indicator for health conditions and diagnosis of stres...

Automated diagnosis of breast ultrasonography images using deep neural networks.

Ultrasonography images of breast mass aid in the detection and diagnosis of breast cancer. Manually analyzing ultrasonography images is time-consuming...

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.

The analysis of glandular morphology within colon histopathology images is an important step in determining the grade of colon cancer. Despite the imp...

PENYEK: Automated brown planthopper detection from imperfect sticky pad images using deep convolutional neural network.

Rice is a staple food in Asia and it contributes significantly to the Gross Domestic Product (GDP) of Malaysia and other developing countries. Brown P...

Deep Learning in Image Cytometry: A Review.

Artificial intelligence, deep convolutional neural networks, and deep learning are all niche terms that are increasingly appearing in scientific prese...

Dual-mode artificially-intelligent diagnosis of breast tumours in shear-wave elastography and B-mode ultrasound using deep polynomial networks.

The main goal of this study is to build an artificial intelligence (AI) architecture for automated extraction of dual-modal image features from both s...

Does urodynamics predict voiding after benign prostatic hyperplasia surgery in patients with detrusor underactivity?

OBJECTIVE: We sought to determine if urodynamic study (UDS) predicted voiding outcomes in men with detrusor underactivity (DU) and benign prostatic en...

Updates in Urologic Robot Assisted Surgery.

Modern robotics is an advanced minimally invasive technology with the advantages of wristed capability, three-dimensional optics, and tremor filtratio...

Deep learning enables cross-modality super-resolution in fluorescence microscopy.

We present deep-learning-enabled super-resolution across different fluorescence microscopy modalities. This data-driven approach does not require nume...

Metastatic neuroendocrine carcinoma presenting as multifocal liver lesions with elevated alpha-fetoprotein.

Significant elevations in alpha-fetoprotein should raise suspicion for hepatocellular carcinoma as malignancies with metastasis to the liver can eleva...

Protective effects of Ganoderma triterpenoids on cadmium-induced oxidative stress and inflammatory injury in chicken livers.

Several studies have been conducted on liver damage caused by cadmium, but few on the protective effects of Ganoderma triterpenoids against liver dama...

Micro-Net: A unified model for segmentation of various objects in microscopy images.

Object segmentation and structure localization are important steps in automated image analysis pipelines for microscopy images. We present a convoluti...

Artificial Intelligence-Based Grading Quality of Bovine Blastocyst Digital Images: Direct Capture with Juxtaposed Lenses of Smartphone Camera and Stereomicroscope Ocular Lens.

In this study, we developed an online graphical and intuitive interface connected to a server aiming to facilitate professional access worldwide to th...

Microfluidic droplets content classification and analysis through convolutional neural networks in a liquid biopsy workflow.

In a recent paper we presented an innovative method of liquid biopsy, for the detection of circulating tumor cells (CTC) in the peripheral blood. Usin...

Effects of cell-free supernatant of LA5 and 431 against planktonic form and biofilm of .

This study was carried out to investigate the stability, antibacterial properties and biofilm removal potential of cell-free supernatant (CFS) of LA5...

MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods.

PURPOSE: Precise histological classification of epithelial ovarian cancer (EOC) has immanent diagnostic and therapeutic consequences, but remains chal...