[HTML][HTML] Combined Input Deep Learning Pipeline for Embryo Selection for In Vitro Fertilization Using Light Microscopic Images and Additional Features

K Onthuam, N Charnpinyo, K Suthicharoenpanich… - Journal of …, 2025 - mdpi.com
The current process of embryo selection in in vitro fertilization is based on morphological
criteria; embryos are manually evaluated by embryologists under subjective assessment. In …

Oocyte Microscopic Image Fertilization Prediction based on First Polar Body Morphology using YOLOv8

T Sappakit, K Onthuam, T Limsila… - 2024 46th Annual …, 2024 - ieeexplore.ieee.org
The development of oocytes is crucial in the development and fertility of embryos in In Vitro
Fertilization (IVF). There are several internal and external factors that could affect the …

Automated Object Keypoints Dataset Generation Using Blender

T Sappakit, T Limsila, K Chammanard… - 2024 21st …, 2024 - ieeexplore.ieee.org
This research paper explores the use of Blender, a powerful 3D computer software, as a
convenient alternative to the traditional hand labeling method for generating keypoints …

Role of AI in Standardization and Automation of IVF Process: A Review

P Sharma, A Khan - 2024 4th International Conference on …, 2024 - ieeexplore.ieee.org
A potential remedy for the problems with empirical or subjective judgments in clinical and
embryological decision-making in infertility therapy is artificial intelligence (AI). This paper …

Impact of Artificial Intelligence on In Vitro Fertilization: Revolutionizing Reproductive Medicine

AT Saremi, B Abbasi… - Sarem Journal of …, 2023 - saremjrm.com
This paper provides an in-depth analysis of the significant impact Artificial Intelligence (AI)
has on In Vitro Fertilization (IVF). It traces the evolution of IVF from its inception to the …