A histopathological image dataset for grading breast invasive ductal carcinomas
Breast cancer is a common cancer in women, and one of the major causes of death among women around the world. Invasive ductal carcinoma (IDC) is the most widespread type of breast cancer with about 80% of all diagnosed cases. Early accurate diagnosis plays an important role in choosing the right tre...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2020-01-01
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| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914820300757 |
| _version_ | 1819085006447837184 |
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| author | Hamidreza Bolhasani Elham Amjadi Maryam Tabatabaeian Somayyeh Jafarali Jassbi |
| author_facet | Hamidreza Bolhasani Elham Amjadi Maryam Tabatabaeian Somayyeh Jafarali Jassbi |
| author_sort | Hamidreza Bolhasani |
| collection | DOAJ |
| description | Breast cancer is a common cancer in women, and one of the major causes of death among women around the world. Invasive ductal carcinoma (IDC) is the most widespread type of breast cancer with about 80% of all diagnosed cases. Early accurate diagnosis plays an important role in choosing the right treatment plan and improving survival rate among the patients. In recent years, efforts have been made to predict and detect all types of cancers by employing artificial intelligence. An appropriate dataset is the first essential step to achieve such a goal. This paper introduces a histopathological microscopy image dataset of 922 images related to 124 patients with IDC. The dataset has been published and is accessible through the web at: http://databiox.com. The distinctive feature of this dataset as compared to similar ones is that it contains an equal number of specimens from each of three grades of IDC, which leads to approximately 50 specimens for each grade. |
| first_indexed | 2024-12-21T20:57:29Z |
| format | Article |
| id | doaj.art-c4b48702a4bf4def975d55ec656bdd9e |
| institution | Directory Open Access Journal |
| issn | 2352-9148 |
| language | English |
| last_indexed | 2024-12-21T20:57:29Z |
| publishDate | 2020-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Informatics in Medicine Unlocked |
| spelling | doaj.art-c4b48702a4bf4def975d55ec656bdd9e2022-12-21T18:50:32ZengElsevierInformatics in Medicine Unlocked2352-91482020-01-0119100341A histopathological image dataset for grading breast invasive ductal carcinomasHamidreza Bolhasani0Elham Amjadi1Maryam Tabatabaeian2Somayyeh Jafarali Jassbi3Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranPoursina Hakim Digestive Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, IranAnahid Community-Based Breast Clinic, Isfahan, IranDepartment of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran; Corresponding author.Breast cancer is a common cancer in women, and one of the major causes of death among women around the world. Invasive ductal carcinoma (IDC) is the most widespread type of breast cancer with about 80% of all diagnosed cases. Early accurate diagnosis plays an important role in choosing the right treatment plan and improving survival rate among the patients. In recent years, efforts have been made to predict and detect all types of cancers by employing artificial intelligence. An appropriate dataset is the first essential step to achieve such a goal. This paper introduces a histopathological microscopy image dataset of 922 images related to 124 patients with IDC. The dataset has been published and is accessible through the web at: http://databiox.com. The distinctive feature of this dataset as compared to similar ones is that it contains an equal number of specimens from each of three grades of IDC, which leads to approximately 50 specimens for each grade.http://www.sciencedirect.com/science/article/pii/S2352914820300757Breast cancerInvasive ductal carcinomaHistopathologyDigital pathologyGradingImage dataset |
| spellingShingle | Hamidreza Bolhasani Elham Amjadi Maryam Tabatabaeian Somayyeh Jafarali Jassbi A histopathological image dataset for grading breast invasive ductal carcinomas Informatics in Medicine Unlocked Breast cancer Invasive ductal carcinoma Histopathology Digital pathology Grading Image dataset |
| title | A histopathological image dataset for grading breast invasive ductal carcinomas |
| title_full | A histopathological image dataset for grading breast invasive ductal carcinomas |
| title_fullStr | A histopathological image dataset for grading breast invasive ductal carcinomas |
| title_full_unstemmed | A histopathological image dataset for grading breast invasive ductal carcinomas |
| title_short | A histopathological image dataset for grading breast invasive ductal carcinomas |
| title_sort | histopathological image dataset for grading breast invasive ductal carcinomas |
| topic | Breast cancer Invasive ductal carcinoma Histopathology Digital pathology Grading Image dataset |
| url | http://www.sciencedirect.com/science/article/pii/S2352914820300757 |
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