The dataset consists of 2 H&E whole slide images, captured at a magnification of 40×, which overall contains tens of thousands of tumor nuclei from patients with breast cancer. The annotations, which consist of tumor and non-tumor nuclei, were provided by an expert pathologist, using the QuPath software. In detail, within the indicated ROIs, 1419 tumor-nuclei and 605 non-tumor-nuclei were labeled for a total of 2024 nuclei (respectively 762 and 381 from the first WSI, 657 and 224 from the second WSI). The institutional Ethic Committee of the IRCCS Istituto Tumori Giovanni Paolo II approved the study -- Prot n. 8/CE (February 2, 2021)
Breast cancer is one of the most pervasive forms of cancer and its inherent intra- and inter-tumor h...
IHC Cohort: Multiplex IHC stained histological slides were collected from Liaoning Cancer Hospital a...
Abstract Breast cancer is one of the most pervasive forms of cancer and its inherent intra- and inte...
This dataset has been annonced in our new submission "Segmentation of Nuclei in Histopathology Image...
Breast cancer (BC) diagnosis is made by a pathologist who analyzes a portion of the breast tissue un...
A computer-aided detection system for tissue cell nuclei in histological sections is introduced and ...
A computer-aided detection system for tissue cell nuclei in histological sections is introduced and ...
Abstract Background Tumor classification is inexact and largely dependent on the qualitative patholo...
<div>The data set has 357 histopathological images of normal tissue and for cancer grades G1, G2, an...
This work involves the creation of an image-based companion diagnostic framework that employs quanti...
Pathology labs are currently undergoing a transformation towards a fully digital workflow. In additi...
This is a set of 1,608,060 image patches of hematoxylin & eosin stained histological samples of vari...
This dataset consists of 1 .xlsx file, 2 .png files, 1 .json file and 1 .zip file:annotation_details...
Objectives: To study the histopathological features of neoplastic and non neoplastic lesions of brea...
In this dataset, a histopathological microscopy image dataset of 922 images related to 124 patients ...
Breast cancer is one of the most pervasive forms of cancer and its inherent intra- and inter-tumor h...
IHC Cohort: Multiplex IHC stained histological slides were collected from Liaoning Cancer Hospital a...
Abstract Breast cancer is one of the most pervasive forms of cancer and its inherent intra- and inte...
This dataset has been annonced in our new submission "Segmentation of Nuclei in Histopathology Image...
Breast cancer (BC) diagnosis is made by a pathologist who analyzes a portion of the breast tissue un...
A computer-aided detection system for tissue cell nuclei in histological sections is introduced and ...
A computer-aided detection system for tissue cell nuclei in histological sections is introduced and ...
Abstract Background Tumor classification is inexact and largely dependent on the qualitative patholo...
<div>The data set has 357 histopathological images of normal tissue and for cancer grades G1, G2, an...
This work involves the creation of an image-based companion diagnostic framework that employs quanti...
Pathology labs are currently undergoing a transformation towards a fully digital workflow. In additi...
This is a set of 1,608,060 image patches of hematoxylin & eosin stained histological samples of vari...
This dataset consists of 1 .xlsx file, 2 .png files, 1 .json file and 1 .zip file:annotation_details...
Objectives: To study the histopathological features of neoplastic and non neoplastic lesions of brea...
In this dataset, a histopathological microscopy image dataset of 922 images related to 124 patients ...
Breast cancer is one of the most pervasive forms of cancer and its inherent intra- and inter-tumor h...
IHC Cohort: Multiplex IHC stained histological slides were collected from Liaoning Cancer Hospital a...
Abstract Breast cancer is one of the most pervasive forms of cancer and its inherent intra- and inte...