Publications by authors named "Shota Shinkai"

The application of deep learning algorithms to predict the molecular profiles of various cancers from digital images of hematoxylin and eosin (H&E)-stained slides has been reported in recent years, mainly for gastric and colon cancers. In this study, we investigated the potential use of H&E-stained endometrial cancer slide images to predict the associated mismatch repair (MMR) status. H&E-stained slide images were collected from 127 cases of the primary lesion of endometrial cancer.

View Article and Find Full Text PDF

Background: Although many cervical cytology diagnostic support systems have been developed, it is challenging to classify overlapping cell clusters with a variety of patterns in the same way that humans do. In this study, we developed a fast and accurate system for the detection and classification of atypical cell clusters by using a two-step algorithm based on two different deep learning algorithms.

Methods: We created 919 cell images from liquid-based cervical cytological samples collected at Sapporo Medical University and annotated them based on the Bethesda system as a dataset for machine learning.

View Article and Find Full Text PDF

Background: Radical tracheletomy (RT) with pelvic lymphadenectomy has become an option for young patients with early invasive uterine cervical cancer who desire to maintain their fertility. However, this operative method entails a high risk for the following pregnancy due to its radicality.

Methods: We have performed vaginal RT for 71 patients and have experienced 28 pregnancies in 21 patients.

View Article and Find Full Text PDF

Objective: Umbilical cord entanglement is known to be a major cause of fetal hypoxia and to be correlated with several neonatal complications, but almost all of the previous reports were restricted to nuchal cord. In this study, we retrospectively examined the correlation between multiple part cord entanglement and pregnancy outcomes.

Materials And Methods: A total of 2156 cases were recruited from term deliveries in our hospital from 2008 to 2012.

View Article and Find Full Text PDF