An improved convolutional neural network for abnormality detection and segmentation from human sperm images-Reference-Cited by-同舟云学术

An improved convolutional neural network for abnormality detection and segmentation from human sperm images

Published:2021-02-17 Issue:3 Volume:12 Page:3341-3352
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Prabaharan L.,Raghunathan A.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02773-7.pdf

Reference32 articles.

1. Boumaza K, Loukil A, Aarizou K (2017) Computer aided human sperm motility detection. In: Proceedings of the IEEE international conference on automatic control, telecommunication and signals, Algeria, 12 Dec 2017

2. Chaudhari NM, Pawar BV (2016) New human semen analysis system (CASA) using Microscopic image processing techniques. ICTACT J Image Video Process 7(2):1381–1391. https://doi.org/10.21917/ijivp.2016.0201

3. Davila Garcia ML, Paredes Soto DA, Mihaylova LS (2017) A Bag of features based approach for classification of motile sperm cells. In: International conference on IoT and IEEE Green Computing and communication and Cyber, Physical and social computing and IEEE smart data, UK, 21–23 June 2017. https://doi.org/10.1109/ithings-greencom-cpscom-smartdata.2017.21

4. Fariba Shaker S, Monadjemi A, Naghsh-Nilchi AR (2016) Automatic detection and segmentation of sperm head, acrosome and nucleus in microscopic images of human semen smears. Comput Methods Progr Biomed 132:11–20. https://doi.org/10.1016/j.cmpb.2016.04.026

5. Fateme MK, Hamid Reza SM, Abdolhossein S (2019) Efficient and robust segmentation and tracking of sperm cells in microscopic image sequence. IET Comput Vis 13(5):489–499. https://doi.org/10.1049/iet-cvi.2018.5662

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