We provide the generated dataset used for unsupervised machine learning in [1]. The data is in CSV format and contains all principal components and ground truth labels, per tissue type. Tissue type codes used are; C1 for kidney, C2 for skin, C3 for colon, and 'PC' for the principal component. Please see the original design in [1] for feature extraction specifications. Features have been extracted independently for each tissue type.Reference:Prezja, F.; Pölönen, I.; Äyrämö, S.; Ruusuvuori, P.; Kuopio, T. H&E Multi-Laboratory Staining Variance Exploration with Machine Learning. Appl. Sci. 2022, 12, 7511. https://doi.org/10.3390/app1215751
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In recent years, there has been an increased effort to digitise whole-slide images of cancer tissue....
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Diagnosing hematological malignancies requires identification and classification of white blood cell...
Large amounts of data is being generated constantly each day, so much data that it is difficult to f...
In diagnostic histopathology, hematoxylin and eosin (H&E) staining is a critical process that highli...
Hematoxylin and eosin (H&E) staining is ubiquitous in pathology practice and research. As digital pa...
Hematoxylin and Eosin (H&E) are one of the main tissue stains used in histopathology to discriminate...
Computational pathology is a domain that aims to develop algorithms to automatically analyze large d...
Computational pathology is a domain that aims to develop algorithms to automatically analyze large d...
With new advances in machine learning (ML), digital histology can be made easierand more accuratewhi...
Blood and its elements have a vital position in human life and are the best indicator for deciding m...
We study diagnosis of Barrett’s cancer from hematoxylin & eosin (H & E) stained histopatholo...
To determine if candidate cancer biomarkers have utility in a clinical setting, validation using imm...
Content The present dataset is related to a study aiming to identify the best method to perform mul...
Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs are high-re...
In recent years, there has been an increased effort to digitise whole-slide images of cancer tissue....
In recent years, there has been an increased effort to digitise whole-slide images of cancer tissue....
Diagnosing hematological malignancies requires identification and classification of white blood cell...
Large amounts of data is being generated constantly each day, so much data that it is difficult to f...