Variety of ovarian cysts detection and classification using 2D Convolutional Neural Network-Reference-Cited by-同舟云学术

Variety of ovarian cysts detection and classification using 2D Convolutional Neural Network

Published:2023-11-03 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Raja P.^ORCID,Suresh P.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17439-7.pdf

Reference27 articles.

1. Mobeen S, Apostol R (2022) Ovarian cyst. National Library of Medicine, [online]. Availableat: https://www.ncbi.nlm.nih.gov/books/NBK560541. (Accessed: 3 June 2022)

2. Radswiki T, Bell D, Morgan M et al (2023) Ovarian follicular cyst. Reference article, Radiopaedia.org (Accessed on 12 Jun 2023) https://doi.org/10.53347/rID-13410

3. Eldesouky MA, Elbakary MA (2016) Orbital dermoid cyst: Classification and its impact on surgical management. Sem Ophthalmol 1–5. https://doi.org/10.1080/08820538.2016.1182636

4. Weerakkody Y, Niknejad M, Yu Jin T, et al. Ovarian serous cystadenoma. Reference article, Radiopaedia.org (Accessed on 12 Jun 2023) https://doi.org/10.53347/rID-14473

5. Jones J, Yap J, Deslandes A et al Endometrioma. Reference article, Radiopaedia.org (Accessed on 12 Jun 2023). https://doi.org/10.53347/rID-9042

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