Latest AI and machine learning research in pathology for healthcare professionals.
Renal segmentation is one of the most fundamental and challenging task in computer aided diagnosis s...
Stem cell injection has been proposed as an alternative approach for the restoration of vocal fold (...
To assess the accuracy and time requirements of image-guided percutaneous K-wire insertion in the s...
OBJECTIVES: Preoperative, noninvasive prediction of the meningioma grade is important because it inf...
Ventilated patients are at risk of acquiring ventilator-associated pneumonia. Various techniques are...
This paper presents a new neural network methodology for modelling of soft tissue deformation for su...
The benchmark method for the evaluation of breast cancers involves microscopic testing of a hematoxy...
Purpose To compare the diagnostic performance of radiomic analysis (RA) and a convolutional neural n...
Morphological characteristics of muscle fibers, such as their cross-sections, are important indicato...
INTRODUCTION: Incorporating urine volume into adequacy assessment was recommended by The Paris Syste...
The size and shape of a nodule are the essential indicators of malignancy in lung cancer diagnosis. ...
Formalin is commonly used as a component of antiparasitic baths in fisheries. In this study the impa...
In medical practice, the mitotic cell count from histological images acts as a proliferative marker ...
Computed tomography (CT)-based screening on lung cancer mortality is poised to make lung nodule mana...
Meningioma is the one of the most common type of brain tumor, it as arises from the meninges and enc...
Histopathological examination is today's gold standard for cancer diagnosis. However, this task is t...
Nonmass-like enhancements are a common but diagnostically challenging finding in breast MRI. Nonmass...
OBJECTIVE: The purpose of this study is to establish the feasibility, safety, diagnostic performance...
Recently, deep learning frameworks have been shown to be successful and efficient in processing digi...
PURPOSE: The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images for guiding ...
Ultrasound imaging of the thyroid gland is considered to be the best diagnostic choice for evaluatin...