Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning

Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer

(2019) D Tran et al.   HUMAN REPRODUCTION

Machine learning algorithm validation with a limited sample size

(2019) Andrius Vabalas et al.   PLoS One

MuDeRN: Multi-category classification of breast histopathological image using deep residual networks

(2018) Ziba Gandomkar et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Deep learning for image-based cancer detection and diagnosis − A survey

(2018) Zilong Hu et al.   PATTERN RECOGNITION

Comparison of the development of human embryos cultured in either an EmbryoScope or benchtop incubator

(2017) R. Sciorio et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Analysis of human tissue densities: A new approach to extract features from medical images

(2017) Pedro P. Rebouças Filho et al.   PATTERN RECOGNITION LETTERS

A Method Based on Artificial Intelligence To Fully Automatize The Evaluation of Bovine Blastocyst Images

(2017) José Celso Rocha et al.   Scientific Reports

Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination

(2017) José Celso Rocha et al.   Scientific Data

Minimal stimulation IVF vs conventional IVF: a randomized controlled trial

(2016) John J. Zhang et al.   AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY

Does the addition of time-lapse morphokinetics in the selection of embryos for transfer improve pregnancy rates? A randomized controlled trial

(2016) Linnea R. Goodman et al.   FERTILITY AND STERILITY

Morphokinetic parameters using time-lapse technology and day 5 embryo quality: a prospective cohort study

(2015) Ashleigh Storr et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

A quantitative approach to blastocyst quality evaluation: morphometric analysis and related IVF outcomes

(2015) Cristina Lagalla et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

(2015) Takaya Saito et al.   PLoS One

From spoken narratives to domain knowledge: Mining linguistic data for medical image understanding

(2014) Xuan Guo et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

AUC: a misleading measure of the performance of predictive distribution models

(2007) Jorge M. Lobo et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY