RETRACTED: Nobel et al. Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis. Tomography 2024, 10, 105-132

Autor/a

Nobel, S. M.Nuruzzaman

Swapno, S. M.Masfequier Rahman

Hossain, Md Ashraful

Safran, Mejdl

Alfarhood, Sultan

Kabir, Md Mohsin

Mridha, M. F.

Fecha de publicación

2024-04-03



Resumen

This retracts the article "RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis" on page 105


The Tomography Editorial Office retracts the article: Nobel S.M.N., Swapno S.M.M.R., Hossain M.A., Safran M., Alfarhood S., Kabir M.M., Mridha M.F. "RETRACTED: Modern Subtype Classification and Outlier Detection Using the Attention Embedder to Transform Ovarian Cancer Diagnosis". Tomography, 2024,vol.10, iss.1, pp.105-132. DOI: https://doi.org.10.3390/tomography10010010. Following publication, concerns were brought to the attention of the publisher regarding unauthorized use of propriety data presented within this article above mentioned. Adhering to our complaints procedure, an investigation was conducted that confirmed that appropriate permission to publish these data was not obtained and that this publication breached the embargo period as set out by the Kaggle competition “UBC Ovarian Cancer Subtype Classification and Outlier Detection (UBC-OCEAN)”, hosted by the University of British Columbia (UBC), Canada. As retroactive permission could not be obtained, the Editorial Office and Editorial Board have decided to retract this article as per MDPI’s retraction policy and in line with the Committee on Publication Ethics retraction guidelines. This retraction was approved by the Editor-in-Chief of the journal Tomography. The authors did not provide a comment on this decision

Tipo de documento

Artículo
Versión publicada

Lengua

Inglés

Materias y palabras clave

Ovaris -- Càncer -- Diagnòstic; Ovaries -- Cancer -- Diagnosis

Publicado por

MDPI (Multidisciplinary Digital Publishing Institute)

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Derechos

Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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