Cc-by-nc-sa-4.0 (7)#
A dataset for generalized nuclear segmentation for computational pathology#
Neeraj Kumar, Ruchika Verma, Sanuj Sharma, Surabhi Bhargava, Abhishek Vahadane, Amit Sethi
Published 2017-03-06
Licensed CC-BY-NC-SA-4.0
The dataset for this challenge was obtained by carefully annotating tissue images of several patients with tumors of different organs and who were diagnosed at multiple hospitals. This dataset was created by downloading H&E stained tissue images captured at 40x magnification from TCGA archive. H&E staining is a routine protocol to enhance the contrast of a tissue section and is commonly used for tumor assessment (grading, staging, etc.). Given the diversity of nuclei appearances across multiple organs and patients, and the richness of staining protocols adopted at multiple hospitals, the training datatset will enable the development of robust and generalizable nuclei segmentation techniques that will work right out of the box.
Tags: Ai-Ready, Exclude From Dalia
Content type: Data
CryoNuSeg#
Amirreza Mahbod, Benjamin Bancher, Isabella Ellinger, Deyun Zhang, Syed Nauyan Rashid
Published 2019-12-31
Licensed CC-BY-NC-SA-4.0
A Dataset for Nuclei Segmentation of Cryosectioned H&E-Stained Histologic Images
Tags: Ai-Ready, Exclude From Dalia
Content type: Data
https://www.kaggle.com/datasets/ipateam/segmentation-of-nuclei-in-cryosectioned-he-images
DataViz protocols - An introduction to data visualization protocols for wet lab scientists#
Joachim Goedhart
Published 2024-12-10
Licensed CC-BY-NC-SA-4.0
Tags: Data Visualization, R, Include In Dalia
Content type: Book
https://zenodo.org/records/7257808
MoNuSeg Dataset#
Neeraj Kumar, Ruchika Verma, Sanuj Sharma, Surabhi Bhargava, Abhishek Vahadane, Amit Sethi
Published 2017-07-01
Licensed CC-BY-NC-SA-4.0
The dataset for this challenge was obtained by carefully annotating tissue images of several patients with tumors of different organs and who were diagnosed at multiple hospitals. This dataset was created by downloading H&E stained tissue images captured at 40x magnification from TCGA archive. H&E staining is a routine protocol to enhance the contrast of a tissue section and is commonly used for tumor assessment (grading, staging, etc.). Given the diversity of nuclei appearances across multiple organs and patients, and the richness of staining protocols adopted at multiple hospitals, the training datatset will enable the development of robust and generalizable nuclei segmentation techniques that will work right out of the box.
Tags: Ai-Ready, Exclude From Dalia
Content type: Data
MonuSAC 2020#
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham
Published 2021-06-04
Licensed CC-BY-NC-SA-4.0
H&E staining of human tissue sections is a routine and most common protocol used by pathologists to enhance the contrast of tissue sections for tumor assessment (grading, staging, etc.) at multiple microscopic resolutions. Hence, we will provide the annotated dataset of H&E stained digitized tissue images of several patients acquired at multiple hospitals using one of the most common 40x scanner magnification. The annotations will be done with the help of expert pathologists.
Tags: Ai-Ready, Exclude From Dalia
Content type: Data
OMERO - QuPath#
Rémy Jean Daniel Dornier
Licensed CC-BY-NC-SA-4.0
OMERO-RAW extension for QuPath allows to directly access to the raw pixels of images. All types of images (RGB, fluorescence, …) are supported with this extension.
Tags: Bioimage Analysis, OMERO, Exclude From Dalia
Content type: Online Tutorial
The Illustrated Stable Diffusion#
Jay Alammar
Published 2022-10-04
Licensed CC-BY-NC-SA-4.0
AI image generation is the most recent AI capability blowing people’s minds (mine included). The ability to create striking visuals from text descriptions has a magical quality to it and points clearly to a shift in how humans create art. The release of Stable Diffusion is a clear milestone in this development because it made a high-performance model available to the masses.
Tags: Artificial Intelligence, Include In Dalia
Content type: Blog Post
https://jalammar.github.io/illustrated-stable-diffusion/