Pathology

The association of benign prostatic hyperplasia with lower urinary tract stones in adult men: A retrospective multicenter study.

OBJECTIVE: To examine the relationship between benign prostatic hyperplasia (BPH) and the presence of lower urinary tract stones.

Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.

Deep learning using convolutional neural networks is an actively emerging field in histological image analysis. This study explores deep learning methods for computer-aided classification in H&E stained histopathological whole slide images of gastric carcinoma. An introductory convolutional neural network architecture is proposed for two computerized applications, namely, cancer classification bas...

AutoIHC-scoring: a machine learning framework for automated Allred scoring of molecular expression in ER- and PR-stained breast cancer tissue.

In prognostic evaluation of breast cancer Immunohistochemical (IHC) markers namely, oestrogen receptor (ER) and progesterone receptor (PR) are widely ...

Pathophysiology of clinical benign prostatic hyperplasia.

A disease can be defined as an abnormal anatomy (pathology) and/or function (physiology) that may cause harm to the body. In clinical benign prostatic...

An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.

Being a non-histone protein, Ki-67 is one of the essential biomarkers for the immunohistochemical assessment of proliferation rate in breast cancer sc...

Classification of cardiovascular tissues using LBP based descriptors and a cascade SVM.

BACKGROUND AND OBJECTIVE: Histological images have characteristics, such as texture, shape, colour and spatial structure, that permit the differentiat...

Patterns of Benign Prostate Hyperplasia Based on Magnetic Resonance Imaging Are Correlated With Lower Urinary Tract Symptoms and Continence in Men Undergoing a Robot-assisted Radical Prostatectomy for Prostate Cancer.

OBJECTIVE: To investigate the association between benign prostatic hyperplasia (BPH) patterns, classified by magnetic resonance imaging (MRI), with lo...

Zinc Oxide-Supported Copper Clusters with High Biocidal Efficacy for and .

Cu clusters on ZnO have been prepared by a simple low-temperature solid-state reaction from their respective acetate precursors. The formation of meta...

Automated histological classification of whole-slide images of gastric biopsy specimens.

BACKGROUND: Automated image analysis has been developed currently in the field of surgical pathology. The aim of the present study was to evaluate the...

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-tri...

Pilot Study on the Performance of a New System for Image Based Analysis of Peripheral Blood Smears on Normal Samples.

Image analysis based automated systems aiming to automate the manual microscopic review of peripheral blood smears have gained popularity in recent ti...

Classification of Paediatric Inflammatory Bowel Disease using Machine Learning.

Paediatric inflammatory bowel disease (PIBD), comprising Crohn's disease (CD), ulcerative colitis (UC) and inflammatory bowel disease unclassified (IB...

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...

Deep monocular 3D reconstruction for assisted navigation in bronchoscopy.

PURPOSE: In bronchoschopy, computer vision systems for navigation assistance are an attractive low-cost solution to guide the endoscopist to target pe...

A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection.

BACKGROUND AND OBJECTIVE: For cancer detection from microscopic biopsy images, image segmentation step used for segmentation of cells and nuclei play ...

Computed tomography (CT)-compatible remote center of motion needle steering robot: Fusing CT images and electromagnetic sensor data.

Lung cancer is the most common cause of cancer-related death, and early detection can reduce the mortality rate. Patients with lung nodules greater th...

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...

Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma.

This paper presents a deep-learning-based CADx for the differential diagnosis of embryonal (ERMS) and alveolar (ARMS) subtypes of rhabdomysarcoma (RMS...

Accurate Classification of Protein Subcellular Localization from High-Throughput Microscopy Images Using Deep Learning.

High-throughput microscopy of many single cells generates high-dimensional data that are far from straightforward to analyze. One important problem is...

Subtotal hysterectomy by natural orifice transluminal endoscopic surgery.

STUDY OBJECTIVE: To introduce the innovative surgical procedure of treating benign uterine pathology with subtotal hysterectomy by natural orifice tra...