Image Segmentation of Zona-Ablated Human Blastocysts
| Autor: | Thomas T. F. Huang, Brienne Walker, Kristen Hori, M Arifur Rahman, Willy Chang, Yousuf Harun, Joshua Mellinger, Aaron T. Ohta |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Machine Learning medicine.medical_treatment Computer Vision and Pattern Recognition (cs.CV) 0206 medical engineering Computer Science - Computer Vision and Pattern Recognition 02 engineering and technology Biology Machine Learning (cs.LG) Andrology 03 medical and health sciences 0302 clinical medicine Sørensen–Dice coefficient medicine FOS: Electrical engineering electronic engineering information engineering Segmentation Blastocyst Zona pellucida reproductive and urinary physiology 030219 obstetrics & reproductive medicine In vitro fertilisation urogenital system Image and Video Processing (eess.IV) Embryo Image segmentation Electrical Engineering and Systems Science - Image and Video Processing 020601 biomedical engineering medicine.anatomical_structure embryonic structures Embryo quality |
| DOI: | 10.48550/arxiv.2008.08673 |
| Popis: | Automating human preimplantation embryo grading offers the potential for higher success rates with in vitro fertilization (IVF) by providing new quantitative and objective measures of embryo quality. Current IVF procedures typically use only qualitative manual grading, which is limited in the identification of genetically abnormal embryos. The automatic quantitative assessment of blastocyst expansion can potentially improve sustained pregnancy rates and reduce health risks from abnormal pregnancies through a more accurate identification of genetic abnormality. The expansion rate of a blastocyst is an important morphological feature to determine the quality of a developing embryo. In this work, a deep learning based human blastocyst image segmentation method is presented, with the goal of facilitating the challenging task of segmenting irregularly shaped blastocysts. The type of blastocysts evaluated here has undergone laser ablation of the zona pellucida, which is required prior to trophectoderm biopsy. This complicates the manual measurements of the expanded blastocyst's size, which shows a correlation with genetic abnormalities. The experimental results on the test set demonstrate segmentation greatly improves the accuracy of expansion measurements, resulting in up to 99.4% accuracy, 98.1% precision, 98.8% recall, a 98.4% Dice Coefficient, and a 96.9% Jaccard Index. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|