HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancerZenodo

The HER2-IHC-40x and HER2-IHC-40x-WSI datasets are high-resolution whole slide image (WSI) and patch-extracted region collection for HER2 immunohistochemistry (IHC) scoring in breast cancer pathology. 107 WSIs are scanned at 40 × magnification with Regions of Interest (ROIs) annotated by expert path...

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Main Authors: Md Serajun Nabi, Mohammad Faizal Ahmad Fauzi, Zaka Ur Rehman, Hezerul Bin Abdul Karim, Phaik-Leng Cheah, Seow-Fan Chiew, Lai-Meng Looi
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:Data in Brief
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Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925006468
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author Md Serajun Nabi
Mohammad Faizal Ahmad Fauzi
Zaka Ur Rehman
Hezerul Bin Abdul Karim
Phaik-Leng Cheah
Seow-Fan Chiew
Lai-Meng Looi
author_facet Md Serajun Nabi
Mohammad Faizal Ahmad Fauzi
Zaka Ur Rehman
Hezerul Bin Abdul Karim
Phaik-Leng Cheah
Seow-Fan Chiew
Lai-Meng Looi
author_sort Md Serajun Nabi
collection DOAJ
description The HER2-IHC-40x and HER2-IHC-40x-WSI datasets are high-resolution whole slide image (WSI) and patch-extracted region collection for HER2 immunohistochemistry (IHC) scoring in breast cancer pathology. 107 WSIs are scanned at 40 × magnification with Regions of Interest (ROIs) annotated by expert pathologists. Patches of 1024 × 1024 pixels are extracted from the ROIs and classified into four HER2 scores (0, 1+, 2+, 3+), yielding structured data for computational pathology analysis. There were two strategies of splitting: WSI-based split, where data was first split before extracting the patches and named as HER2-IHC-40x for this dataset, the other one is patch-based split, where patches were extracted first and then split, named as HER2-IHC-40x-WSI of this dataset. The filtering method for color histograms was applied to remove the non-tumour regions and artifacts, generating high-quality data. The dataset is applicable to deep learning applications, including HER2 classification and explainable AI. It is freely available on Zenodo, with preprocessing scripts provided via GitHub, enabling reproducibility in digital pathology research.
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publishDate 2025-10-01
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series Data in Brief
spelling doaj-art-dfc7be96489b4a2daf5be1d5d141d0442025-08-20T04:02:13ZengElsevierData in Brief2352-34092025-10-016211192210.1016/j.dib.2025.111922HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancerZenodoMd Serajun Nabi0Mohammad Faizal Ahmad Fauzi1Zaka Ur Rehman2Hezerul Bin Abdul Karim3Phaik-Leng Cheah4Seow-Fan Chiew5Lai-Meng Looi6Faculty of Artificial Intelligence and Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjava, MalaysiaFaculty of Artificial Intelligence and Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjava, Malaysia; Centre for Image and Vision Computing, COE for Artificial Intelligence, Multimedia University, 63100 Cyberjaya, Malaysia; Corresponding author.Centre for Image and Vision Computing, COE for Artificial Intelligence, Multimedia University, 63100 Cyberjaya, MalaysiaFaculty of Artificial Intelligence and Engineering, Multimedia University, Persiaran Multimedia, 63100 Cyberjava, Malaysia; Centre for Image and Vision Computing, COE for Artificial Intelligence, Multimedia University, 63100 Cyberjaya, MalaysiaDepartment of Pathology, University of Malaya Medical Centre, 59100 Kuala Lumpur, MalaysiaDepartment of Pathology, University of Malaya Medical Centre, 59100 Kuala Lumpur, MalaysiaDepartment of Pathology, University of Malaya Medical Centre, 59100 Kuala Lumpur, MalaysiaThe HER2-IHC-40x and HER2-IHC-40x-WSI datasets are high-resolution whole slide image (WSI) and patch-extracted region collection for HER2 immunohistochemistry (IHC) scoring in breast cancer pathology. 107 WSIs are scanned at 40 × magnification with Regions of Interest (ROIs) annotated by expert pathologists. Patches of 1024 × 1024 pixels are extracted from the ROIs and classified into four HER2 scores (0, 1+, 2+, 3+), yielding structured data for computational pathology analysis. There were two strategies of splitting: WSI-based split, where data was first split before extracting the patches and named as HER2-IHC-40x for this dataset, the other one is patch-based split, where patches were extracted first and then split, named as HER2-IHC-40x-WSI of this dataset. The filtering method for color histograms was applied to remove the non-tumour regions and artifacts, generating high-quality data. The dataset is applicable to deep learning applications, including HER2 classification and explainable AI. It is freely available on Zenodo, with preprocessing scripts provided via GitHub, enabling reproducibility in digital pathology research.http://www.sciencedirect.com/science/article/pii/S2352340925006468HER2 IHC datasetBreast cancerColor histogramWhole slide imaging (WSI)Medical image datasetDigital pathology
spellingShingle Md Serajun Nabi
Mohammad Faizal Ahmad Fauzi
Zaka Ur Rehman
Hezerul Bin Abdul Karim
Phaik-Leng Cheah
Seow-Fan Chiew
Lai-Meng Looi
HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancerZenodo
Data in Brief
HER2 IHC dataset
Breast cancer
Color histogram
Whole slide imaging (WSI)
Medical image dataset
Digital pathology
title HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancerZenodo
title_full HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancerZenodo
title_fullStr HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancerZenodo
title_full_unstemmed HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancerZenodo
title_short HER2-IHC-40x: A high-resolution histopathology dataset for HER2 IHC scoring in breast cancerZenodo
title_sort her2 ihc 40x a high resolution histopathology dataset for her2 ihc scoring in breast cancerzenodo
topic HER2 IHC dataset
Breast cancer
Color histogram
Whole slide imaging (WSI)
Medical image dataset
Digital pathology
url http://www.sciencedirect.com/science/article/pii/S2352340925006468
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