@inproceedings{d6c133afe8844da48b594355be0fc2c9,
title = "Classification of Human Blastocyst Quality Using Wavelets and Transfer Learning",
abstract = "Embryo culture and transfer are the procedure of maturation and transmission of the embryo into the uterus. This procedure is one of a stage in the series of in vitro fertilization processes, better known as IVF. The selection of good quality embryos to be implanted presents a problem because of the blastocyst image. Blastocyst image is a very intricate texture to be visually determined, which is good or poor quality. This research aims to implement the pre-trained Inception-v3 network to predict blastocyst quality with add image pre-processing using wavelets. Using only 249 of human blastocyst microscope images, we developed an accurate classifier that can classify blastocyst quality with a transfer learning. The experiment with twenty epochs, the accuracy of training for only raw blastocyst images is 95%, and the best training accuracy uses a pre-processing image with Daubechies 6-tap of 99.29%. Our model was then tested on the 14 of blastocyst images and classified the images of two kinds of grade with the best accuracy of around 64.29%.",
keywords = "Human blastocyst, Quality classification, Transfer learning, Wavelets",
author = "Irmawati and Basari and Dadang Gunawan",
note = "Funding Information: Acknowledgements This research publication is supported by Hibah PIT9 Number NKB-0052/UN2.R3.1/HKP.05.00/2019 from Universitas Indonesia. Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; International Conference on Computer, Communication and Computational Sciences, IC4S 2019 ; Conference date: 11-10-2019 Through 12-10-2019",
year = "2021",
doi = "10.1007/978-981-15-4409-5_85",
language = "English",
isbn = "9789811544088",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "965--974",
editor = "Bhatia, {Sanjiv K.} and Shailesh Tiwari and Su Ruidan and Trivedi, {Munesh Chandra} and Mishra, {K. K.}",
booktitle = "Advances in Computer, Communication and Computational Sciences - Proceedings of IC4S 2019",
address = "Germany",
}