Malignant lymphoma is a type of cancer affecting the lymph nodes. Clinically, there are three typical types of malignant lymphoma: CLL (Chronic Lymphocytic Leukemia), FL (Follicular Lymphoma), and MCL (Mantle Cell Lymphoma). The type of lymphoma can be distinguished through biopsies and Hematoxylin and Eosin (H&E) staining. This dataset is a collection of 2D samples prepared by multiple pathologists from different sites for the image classification task of malignant lymphoma, containing a total of 374 tif format images.
| Dimensions | Modality | Task Type | Anatomical Structures | Anatomical Area | Number of Categories | Data Volume | File Format |
|---|---|---|---|---|---|---|---|
| 2D | Pathological sections | Classification | Tissue | Tissue | 3 | 374 | .tif |
| Dataset Statistics | size |
|---|---|
| min | [1388, 1040] |
| median | [1388, 1040] |
| max | [1388, 1040] |
| Type | Count | Percentage |
|---|---|---|
| CLL (Chronic Lymphocytic Leukemia) | 113 | 30.2% |
| FL (Follicular Lymphoma) | 139 | 37.2% |
| MCL (Mantle Cell Lymphoma) | 122 | 32.6% |
CLL example.
FL example.
MCL example.
The file structure of the dataset is as follows, with data divided into three different folders based on ownership: CLL, FL, and MCL.
Malignant Lymphoma Classification
├── CLL
│ ├── sj-03-476_001.tif
│ ├── sj-03-476_002.tif
│ ├── ...
├── FL
│ ├── sj-05-588-R1_001.tif
│ ├── sj-05-588-R1_002.tif
│ ├── ...
├── MCL
│ ├── sj-05-588-R1_002.tif
│ ├── sj-04-3077-R2_002.tif
│ ├── ...
Nikita V. Orlov (National Institute on Aging, National Institutes of Health DHHS, USA)
Wayne W. Chen (National Cancer Institute, National Institutes of Health DHHS, USA)
David Mark Eckley (National Institute on Aging, National Institutes of Health DHHS, USA)
Tomasz J. Macura (National Institute on Aging, National Institutes of Health DHHS, USA)
Lior Shamir (National Institute on Aging, National Institutes of Health DHHS, USA)
Elaine S. Jaffe (National Institute on Aging, National Institutes of Health DHHS, USA)
Ilya G. Goldberg (National Institute on Aging, National Institutes of Health DHHS, USA)
Official Website: https://www.kaggle.com/datasets/andrewmvd/malignant-lymphoma-classification
Download Link: https://www.kaggle.com/datasets/andrewmvd/malignant-lymphoma-classification/download?datasetVersionNumber=1
Article Address: https://ieeexplore.ieee.org/document/5505922
Publication Date: 2010-07-08
@article{article,
author = {Orlov, Nikita and Chen, Wayne and Eckley, David and Macura, Tomasz and Shamir, Lior and Jaffe, Elaine and Goldberg, Ilya},
year = {2010},
month = {07},
pages = {1003-13},
title = {Automatic Classification of Lymphoma Images With Transform-Based Global Features},
volume = {14},
journal = {IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society},
doi = {10.1109/TITB.2010.2050695}
}
Original introduction article is here.