Accurate Ovarian Cyst Classification With a Lightweight Deep Learning Model for Ultrasound Images-Reference-Cited by-同舟云学术

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Accurate Ovarian Cyst Classification With a Lightweight Deep Learning Model for Ultrasound Images

Published:2023 Issue: Volume:11 Page:110681-110691
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fan Junfang¹^ORCID,Liu Juanqin¹^ORCID,Chen Qili²^ORCID,Wang Wei³^ORCID,Wu Yanhui⁴^ORCID

Affiliation:

1. Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing Information Science & Technology University, Beijing, China

2. School of Automation, Beijing Information Science & Technology University, Beijing, China

3. School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China

4. Department of Gynecology, The Third Affiliated Hospital of Beijing University of Chinese Medicine, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Research and Cultivation Projects of Promote the Classified Development of Universities

Project of Construction and Support for High-Level Innovative Teams of Beijing Municipal Institutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10268941.pdf?arnumber=10268941

Reference50 articles.

1. Automated algorithm for ovarian cysts detection in ultrasonogram

2. Content-Based Retrieval and Classification of Ultrasound Medical Images of Ovarian Cysts

3. Classification of ovarian cyst using soft computing technique

4. Classification of Ovarian Cysts on Ultrasound Images Using Watershed Segmentation and Contour Analysis

5. Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges

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