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A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans

Research article (Applied Sciences, 2020) · cited 89× · AI/ML
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A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans

Summary

A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans is a scholarly article[1].

Key Facts

  • A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans'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). A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-approach-for-diagnosis-of-metastatic-breast-cancer-in-bones-from-whole-body-scans
MLA “A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-approach-for-diagnosis-of-metastatic-breast-cancer-in-bones-from-whole-body-scans.
BibTeX @misc{4ortxyz_a-deep-learning-approach-for-diagnosis-of-metastatic-breast-cancer-in-bones-from-whole-body-scans_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-approach-for-diagnosis-of-metastatic-breast-cancer-in-bones-from-whole-body-scans}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep-Learning Approach for Diagnosis of Metastatic Breast Cancer in Bones from Whole-Body Scans — https://4ort.xyz/entity/a-deep-learning-approach-for-diagnosis-of-metastatic-breast-cancer-in-bones-from-whole-body-scans (retrieved 2026-05-24)

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