Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”

Presents corrections to the paper, (Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”).

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Bibliographic Details
Main Authors: Ruiming Zeng, Boan Qu, Wei Liu, Jianghao Li, Hongshen Li, Pingping Bing, Shuangni Duan, Lemei Zhu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Online Access:https://ieeexplore.ieee.org/document/10747712/
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author Ruiming Zeng
Boan Qu
Wei Liu
Jianghao Li
Hongshen Li
Pingping Bing
Shuangni Duan
Lemei Zhu
author_facet Ruiming Zeng
Boan Qu
Wei Liu
Jianghao Li
Hongshen Li
Pingping Bing
Shuangni Duan
Lemei Zhu
author_sort Ruiming Zeng
collection DOAJ
description Presents corrections to the paper, (Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”).
format Article
id doaj-art-2a54863852794a2d9ff5085590a092cc
institution Kabale University
issn 2169-3536
language English
publishDate 2024-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj-art-2a54863852794a2d9ff5085590a092cc2024-11-09T00:01:32ZengIEEEIEEE Access2169-35362024-01-011216226716226710.1109/ACCESS.2024.348913310747712Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”Ruiming Zeng0Boan Qu1Wei Liu2https://orcid.org/0000-0003-2702-0362Jianghao Li3Hongshen Li4Pingping Bing5https://orcid.org/0000-0001-6956-2819Shuangni Duan6Lemei Zhu7Hunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, ChinaCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, ChinaCollege of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, Beijing, ChinaHunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, ChinaHunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, ChinaHunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, ChinaSchool of Public Health, Xiangnan University, Chenzhou, ChinaHunan Provincial Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha, ChinaPresents corrections to the paper, (Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”).https://ieeexplore.ieee.org/document/10747712/
spellingShingle Ruiming Zeng
Boan Qu
Wei Liu
Jianghao Li
Hongshen Li
Pingping Bing
Shuangni Duan
Lemei Zhu
Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”
IEEE Access
title Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”
title_full Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”
title_fullStr Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”
title_full_unstemmed Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”
title_short Corrections to “FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification”
title_sort corrections to x201c fastleakyresnet cir a novel deep learning framework for breast cancer detection and classification x201d
url https://ieeexplore.ieee.org/document/10747712/
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AT weiliu correctionstox201cfastleakyresnetciranoveldeeplearningframeworkforbreastcancerdetectionandclassificationx201d
AT jianghaoli correctionstox201cfastleakyresnetciranoveldeeplearningframeworkforbreastcancerdetectionandclassificationx201d
AT hongshenli correctionstox201cfastleakyresnetciranoveldeeplearningframeworkforbreastcancerdetectionandclassificationx201d
AT pingpingbing correctionstox201cfastleakyresnetciranoveldeeplearningframeworkforbreastcancerdetectionandclassificationx201d
AT shuangniduan correctionstox201cfastleakyresnetciranoveldeeplearningframeworkforbreastcancerdetectionandclassificationx201d
AT lemeizhu correctionstox201cfastleakyresnetciranoveldeeplearningframeworkforbreastcancerdetectionandclassificationx201d