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Identification of ovarian mass through ultrasound images using machine learning techniques

Research article (2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), 2015) · cited 22× · AI/ML
academia openalex:W2296210930
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Identification of ovarian mass through ultrasound images using machine learning techniques

Summary

Identification of ovarian mass through ultrasound images using machine learning techniques is a scholarly article[1].

Key Facts

  • Identification of ovarian mass through ultrasound images using machine learning techniques's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Identification of ovarian mass through ultrasound images using machine learning techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-ovarian-mass-through-ultrasound-images-using-machine-learning-techniques
MLA “Identification of ovarian mass through ultrasound images using machine learning techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-ovarian-mass-through-ultrasound-images-using-machine-learning-techniques.
BibTeX @misc{4ortxyz_identification-of-ovarian-mass-through-ultrasound-images-using-machine-learning-techniques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of ovarian mass through ultrasound images using machine learning techniques}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-ovarian-mass-through-ultrasound-images-using-machine-learning-techniques}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of ovarian mass through ultrasound images using machine learning techniques — https://4ort.xyz/entity/identification-of-ovarian-mass-through-ultrasound-images-using-machine-learning-techniques (retrieved 2026-05-24)

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