ALL-IDB (Acute Lymphoblastic leukaemia-International Database)

Citation Author(s):
Fabio
Scotti
Universita' degli Studi di Milano Department of Computer Science Via Celoria 18 - 20133 Milano (MI), Italy
Ruggero Donida
Labati
Assistant Professor (tenure track: RTD-B) Università degli Studi di Milano Dipartimento di Informatica Via Celoria 18 - 20133 Milano (MI) - Italy
Prof. Vincenzo
Piuri
Dipartimento di Informatica Universita' degli Studi di Milano via Celoria 18 20133 Milano (MI), Italy Telephone: +39-02-503-16244 Email: vincenzo.piuri@unimi.it
Submitted by:
ishfaq sheikh
Last updated:
Thu, 10/15/2020 - 06:46
DOI:
10.21227/pm77-2n23
Data Format:
images
Links:
ALL-IDB
License:
Creative Commons Attribution
2765 Views
Categories:
Artificial Intelligence
Image Processing
Computer Vision
Machine Learning
Biomedical and Health Sciences
Keywords:
leukaemia, lymphoblastic, Hyperspectral images; Hyperspectral imagery classification; Machine Learning; cancer detection
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Abstract 

ALL-IDB (Acute Lymphoblastic Leukemia) Image Database for Image Processing

ALL-IDB dataset comprises of two subsets among them one subset has 260 segmented lymphocytes of them 130 belongs to the leukaemia and the remaining 130 belongs to the non leukaemuia class it requires only classification. second subset has around 108 non segmented blood images that belongs to the leukaemia and non leukaemia groups thus requires segmentation and classification.

 

 

Instructions: 

the format of the dataset content as given by the original authors is depicted below.  

 The ALL-IDB1 image files are named with the notation ImXXX_Y.jpg where XXX is a 3-digit integer counter and Y is a boolean digit equal to 0 is no blast cells are present, and equal to 1 if at least one blast cell is present in the image. Please note that all images labeled with Y=0 are from for healthy individuals, and all images labeled with Y=1 are from ALL patients. Each image file ImXXX_Y.jpg is associated with a text file ImXXX_Y.xyc reporting the coordinates of the centroids of the blast cells, if any. 

 

 

Further information is available here

http://www.dti.unimi.it/fscotti/all/

Comments

How do I access the dataset?

Submitted by Pravin Kumaar R on Thu, 10/29/2020 - 11:01

Dataset Files

    Files have not been uploaded for this dataset

     

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