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Retracted: A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization

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Published in:Computational and Mathematical Methods in Medicine
Format: Online Article RSS Article
Published: 2023
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container_title Computational and Mathematical Methods in Medicine
description
discipline_display Mathematics
discipline_facet Mathematics
format Online Article
RSS Article
genre Journal Article
id rss_article:62896
institution FRELIP
journal_source_facet Computational and Mathematical Methods in Medicine
last_indexed 2026-06-20T21:27:34.457Z
publishDate 2023
publishDateSort 2023
record_format rss_article
spellingShingle Retracted: A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization
Mathematics
General
Mathematics
sub_discipline_display General
sub_discipline_facet General
subject_display Mathematics
General
Mathematics
subject_facet Mathematics
General
Mathematics
title Retracted: A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization
title_alt Retractado: Un enfoque novedoso para clasificar imágenes de biopsias de histopatología de cáncer de mama utilizando destilación de conocimiento bilateral y regularización de suavizado de etiquetas
Rétracté : Une nouvelle approche pour classer les images de biopsies d'histopathologie du cancer du sein utilisant la distillation de connaissances bilatérale et la régularisation par lissage d'étiquettes
Retratado: Uma Abordagem Inovadora para Classificar Imagens de Biópsia de Histopatologia do Câncer de Mama Usando Destilação de Conhecimento Bilateral e Regularização de Suavização de Rótulos
title_auth Retracted: A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization
title_es_txt Retractado: Un enfoque novedoso para clasificar imágenes de biopsias de histopatología de cáncer de mama utilizando destilación de conocimiento bilateral y regularización de suavizado de etiquetas
title_fr_txt Rétracté : Une nouvelle approche pour classer les images de biopsies d'histopathologie du cancer du sein utilisant la distillation de connaissances bilatérale et la régularisation par lissage d'étiquettes
title_full Retracted: A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization
title_fullStr Retracted: A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization
title_full_unstemmed Retracted: A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization
title_pt_txt Retratado: Uma Abordagem Inovadora para Classificar Imagens de Biópsia de Histopatologia do Câncer de Mama Usando Destilação de Conhecimento Bilateral e Regularização de Suavização de Rótulos
title_short Retracted: A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization
title_sort retracted: a novel approach to classifying breast cancer histopathology biopsy images using bilateral knowledge distillation and label smoothing regularization
topic Mathematics
General
Mathematics
url https://www.hindawi.com/journals/cmmm/2023/9898159/