IMPACT OF STAIN NORMALIZATION AND PATCH SELECTION ON THE PERFORMANCE OF CONVOLUTIONAL NEURAL NETWORKS IN HISTOLOGICAL BREAST AND PROSTATE CANCER CLASSIFICATION

Background: Recently, deep learning has rapidly become the methodology of choice in digital pathology image analysis.However, due to the current challenges of digital pathology (color stain variability, large images, etc.), specific pre-processing steps are required to train a reliable deep learning model.Method: In this work, there are two main go

Area prostriata is a limbic structure critical to fast processing of moving stimuli in far peripheral visual field.Neural substrates underlying this function Tread Belt remain to be discovered.Using both retrograde and anterograde tracing methods, the present study reveals that the prostriata in rat and mouse receives inputs from multimodal hierarc

Abstract Studies estimating genetic diversity and population structure in multi-host parasites are often constrained by temporally and spatially limited sampling.This study addresses these limitations by Display Figure analyzing globally distributed samples of three congeneric avian schistosomes (Trematoda: Schistosomatidae: Trichobilharzia), inclu

BackgroundL31 and Y93 in the NS5A region of the hepatitis C virus (HCV) are the most important substitution positions associated with resistance to Air Conditioner direct-acting antiviral (DAA) treatment.MethodsWe analyzed the frequency of NS5A L31M/V and Y93/H in NS5A inhibitor-naive HCV genotype 1 patients who received asunaprevir plus daclatasvi

The Pregnancy Essentials posture accuracy of full-body dynamic simulation has been successfully evaluated in JACK Siemens software via analyzing two common push and pull tasks.The difference in joint angles between the actual and predicted human movement directly results in the strength of force exposed on the lumbar spine.In this study, the indivi