Pathology

A neural network approach to analyze cross-sections of muscle fibers in pathological images.

Morphological characteristics of muscle fibers, such as their cross-sections, are important indicators of the health and function of the musculoskeletal system. However, manual analysis of muscle fiber morphology is a labor-intensive and time-consuming process that is prone to errors. Overall, the procedure involves high inter- and intra-observer variability. Therefore, it is desirable for biologi...

Determination of appropriate urine volume cutoff values for voided urine specimens to assess adequacy.

INTRODUCTION: Incorporating urine volume into adequacy assessment was recommended by The Paris System for Reporting Urinary Cytology. The concept was relatively new, however, and supportive studies were sparse. We accordingly aimed to determine the role of urine volume in adequacy assessment and cutoff values for urine samples using ThinPrep (Hologic, Inc, MA) processing.

A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation.

The size and shape of a nodule are the essential indicators of malignancy in lung cancer diagnosis. However, effectively capturing the nodule's struct...

A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using F-FDG PET of the Brain.

Purpose To develop and validate a deep learning algorithm that predicts the final diagnosis of Alzheimer disease (AD), mild cognitive impairment, or n...

The effects of a therapeutic formalin bath on selected immunological and oxidative stress parameters in common carp (Cyprinus carpio).

Formalin is commonly used as a component of antiparasitic baths in fisheries. In this study the impact of this bath on the immune profile and oxidativ...

Efficient automated detection of mitotic cells from breast histological images using deep convolution neutral network with wavelet decomposed patches.

In medical practice, the mitotic cell count from histological images acts as a proliferative marker for cancer diagnosis. Therefore, an accurate metho...

Machine learning to predict lung nodule biopsy method using CT image features: A pilot study.

Computed tomography (CT)-based screening on lung cancer mortality is poised to make lung nodule management a growing public health problem. Biopsy and...

Mixture Model Segmentation System for Parasagittal Meningioma brain Tumor Classification based on Hybrid Feature Vector.

Meningioma is the one of the most common type of brain tumor, it as arises from the meninges and encloses the spine and the brain inside the skull. It...

Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images.

Histopathological examination is today's gold standard for cancer diagnosis. However, this task is time consuming and prone to errors as it requires a...

A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions.

Nonmass-like enhancements are a common but diagnostically challenging finding in breast MRI. Nonmass-like lesions can be described as clusters of spat...

F-FDG PET/CT-Guided Real-Time Automated Robotic Arm-Assisted Needle Navigation for Percutaneous Biopsy of Hypermetabolic Bone Lesions: Diagnostic Performance and Clinical Impact.

OBJECTIVE: The purpose of this study is to establish the feasibility, safety, diagnostic performance, and clinical impact of real-time intraprocedural...

Simultaneous Cell Detection and Classification in Bone Marrow Histology Images.

Recently, deep learning frameworks have been shown to be successful and efficient in processing digital histology images for various detection and cla...

Intra-Slice Motion Correction of Intravascular OCT Images Using Deep Features.

Intra-slice motion correction is an important step for analyzing volume variations and pathological formations from intravascular imaging. Optical coh...

Learning deep similarity metric for 3D MR-TRUS image registration.

PURPOSE: The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images for guiding targeted prostate biopsy has significantly improve...

Patch-based classification of thyroid nodules in ultrasound images using direction independent features extracted by two-threshold binary decomposition.

Ultrasound imaging of the thyroid gland is considered to be the best diagnostic choice for evaluating thyroid nodules in early stages, since it has be...

On-Chip Isoniazid Exposure of Penicillin-Binding Protein (PBP) Mutant Using Time-Lapse Fluorescent Microscopy.

Antibiotic resistance has been one of the biggest threats to global health. Despite the available prevention and control strategies and efforts in dev...

Vapoenucleation of the Prostate Using 180 W GreenLight Laser.

INTRODUCTION: The vapoenucleation of the prostate using green laser is an alternative hybrid technique between vaporization and enucleation. It consis...

Acquisition and reconstruction of 4D surfaces of axolotl embryos with the flipping stage robotic microscope.

We have designed and constructed a Flipping Stage for a light microscope that can view the whole exterior surface of a 2 mm diameter developing axolot...

DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning.

The development of whole slide scanners has revolutionized the field of digital pathology. Unfortunately, whole slide scanners often produce images wi...

Effect of Using Two Cryopreservation Methods on Viability and Fertility of Frozen Stallion Sperm.

Studies involving different methods and techniques of cryopreservation and its interactions with the conception rates in artificial insemination (AI) ...