<p>This dataset contains cases of breast carcinoma histological specimens received at the Department of Pathology, “Agios Pavlos” General Hospital of Thessaloniki, Greece. The dataset consists of 300 annotated images of resolution 1280x960 corresponding to 21 different patients with invasive ductal carcinoma of the breast of grades 1-3 (grouped in the corresponding folders).</p> <p>More details about the dataset are presented in the paper: </p> <p>K. Dimitropoulos, P. Barmpoutis, C. Zioga, A. Kamas, K. Patsiaoura and N. Grammalidis, "Grading of invasive breast carcinoma through Grassmannian VLAD encoding", submitted for publication to PLOS ONE, 2017.</p
Deep Learning (DL) algorithms are a set of techniques that exploit large and/or complex real-world d...
Abstract Lymphovascular invasion (LVI) and histologic grade are clinical parameters of high prognost...
Cancer is the second deadliest disease in the US. Each year, breast cancer alone causes the deaths o...
This dataset contains cases of breast carcinoma histological specimens received at the Department of...
<p>(a)-(c) Indicative cases of H&E breast cancer histological images from our dataset (image resolut...
In this dataset, a histopathological microscopy image dataset of 922 images related to 124 patients ...
i3S Annotated Datasets on Digital Pathology WELCOME In an effort to contribute and push forward...
In this paper we address the problem of automated grading of invasive breast carcinoma through the e...
The dataset consists of 2 H&E whole slide images, captured at a magnification of 40×, which overall ...
Breast cancer is a major public health issue that may be remedied with early identification and effi...
Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwid...
<div>The data set has 357 histopathological images of normal tissue and for cancer grades G1, G2, an...
After skin cancer, the most common type of cancer is breast cancer among the world population. Breas...
Breast cancer is associated with the highest morbidity rates for cancer diagnoses in the world and h...
This dataset contains data from the Slide-Study data set used in the paper: [1] C. Mercan, M. Balke...
Deep Learning (DL) algorithms are a set of techniques that exploit large and/or complex real-world d...
Abstract Lymphovascular invasion (LVI) and histologic grade are clinical parameters of high prognost...
Cancer is the second deadliest disease in the US. Each year, breast cancer alone causes the deaths o...
This dataset contains cases of breast carcinoma histological specimens received at the Department of...
<p>(a)-(c) Indicative cases of H&E breast cancer histological images from our dataset (image resolut...
In this dataset, a histopathological microscopy image dataset of 922 images related to 124 patients ...
i3S Annotated Datasets on Digital Pathology WELCOME In an effort to contribute and push forward...
In this paper we address the problem of automated grading of invasive breast carcinoma through the e...
The dataset consists of 2 H&E whole slide images, captured at a magnification of 40×, which overall ...
Breast cancer is a major public health issue that may be remedied with early identification and effi...
Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwid...
<div>The data set has 357 histopathological images of normal tissue and for cancer grades G1, G2, an...
After skin cancer, the most common type of cancer is breast cancer among the world population. Breas...
Breast cancer is associated with the highest morbidity rates for cancer diagnoses in the world and h...
This dataset contains data from the Slide-Study data set used in the paper: [1] C. Mercan, M. Balke...
Deep Learning (DL) algorithms are a set of techniques that exploit large and/or complex real-world d...
Abstract Lymphovascular invasion (LVI) and histologic grade are clinical parameters of high prognost...
Cancer is the second deadliest disease in the US. Each year, breast cancer alone causes the deaths o...