Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Lena Maier-Hein1, Matthias Eisenmann2, Annika Reinke2

  • 1Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany. l.maier-hein@dkfz.de.

Nature Communications
|February 1, 2019
PubMed

Insights

This article has been corrected. A data error in Table 1 has been fixed in the latest PDF and HTML versions, ensuring accurate scientific reporting.

Area of Science:

  • Scientific data integrity
  • Scholarly publishing standards

Background:

  • Original article contained a data presentation error in Table 1.
  • Discrepancies in data values were noted.

Purpose of the Study:

  • To correct an inadvertent data shift in Table 1.
  • To ensure accurate representation of scientific findings.

Main Methods:

  • Correction of data alignment in the rightmost column of Table 1.
  • Updated PDF and HTML versions of the article.

Main Results:

  • The data values in Table 1 are now accurately aligned.
  • Ensured correct presentation of study findings.

Conclusions:

  • The corrected article provides reliable data.
  • Maintained the integrity of scientific communication.

Related Concept Videos

Milgram's Obedience to Authority02:20

Milgram's Obedience to Authority

Obedience to authority is classically demonstrated in a more famous series of social psychology experiments performed by Stanley Milgram. He was a social psychology professor at Yale who was influenced by the trial of Adolf Eichmann, a Nazi war criminal. Eichmann’s defense for the atrocities he committed was that he was “just following orders.”
7.4K
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
504
Competition02:34

Competition

When organisms require the same limited resources within an environment, they may have to compete for them. Competition is a net-negative interaction. Even if two competing individuals or populations do not interact directly, the overall fitness of both competitors is lowered as a result of not having full access to the limited resource.
24.7K
Ranks01:02

Ranks

Unlike parametric methods, nonparametric statistics are ideal for nominal and ordinal data, requiring fewer assumptions about the population's nature or distribution. This makes nonparametric methods easier to apply and interpret, as they do not depend on parameters like mean or standard deviation. One common approach in nonparametric analysis is to sort data according to a specific criterion. For instance, we might arrange weather data from hottest to coldest days in a month or rank cities...
499
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
1.5K
Distance Corrections01:15

Distance Corrections

To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
284