[HTML][HTML] One model is all you need: multi-task learning enables simultaneous histology image segmentation and classification
The recent surge in performance for image analysis of digitised pathology slides can largely
be attributed to the advances in deep learning. Deep models can be used to initially localise …
be attributed to the advances in deep learning. Deep models can be used to initially localise …
Attention-guided multi-scale deep object detection framework for lymphocyte analysis in IHC histological images
Tumor-infiltrating lymphocytes are specialized lymphocytes that can detect and kill
cancerous cells. Their detection poses many challenges due to significant morphological …
cancerous cells. Their detection poses many challenges due to significant morphological …
Automatic detection and counting of lymphocytes from immunohistochemistry cancer images using deep learning
I Keren Evangeline, J Glory Precious… - Journal of Medical and …, 2020 - Springer
Purpose Cancer is one of the most life-threatening and devastating diseases in the world.
The generally recognized standard for cancer staging is the TNM staging system. In …
The generally recognized standard for cancer staging is the TNM staging system. In …
Lymphocyte Annotator: CD3+ and CD8+ IHC Stained Patch Image Annotation Tool
In digital pathology, preliminary step for the development of Computer Aided Diagnostics
involves defining and labelling an Object of Interest. Contrary to traditional tiresome method …
involves defining and labelling an Object of Interest. Contrary to traditional tiresome method …
Statistical Guarantees of Group-Invariant GANs
Group-invariant generative adversarial networks (GANs) are a type of GANs in which the
generators and discriminators are hardwired with group symmetries. Empirical studies have …
generators and discriminators are hardwired with group symmetries. Empirical studies have …
[PDF][PDF] Attention guided multi-scale deep object detection framework for lymphocyte analysis in IHC histology images
Abstract Tumor-Infiltrating Lymphocytes are specialized lymphocytes that can detect and kill
cancerous cells. Their detection poses many challenges due to significant morphological …
cancerous cells. Their detection poses many challenges due to significant morphological …
An AI-ready multiplex staining dataset for reproducible and accurate characterization of tumor immune microenvironment
P Ghahremani, J Marino, J Hernandez-Prera… - … Conference on Medical …, 2023 - Springer
We introduce a new AI-ready computational pathology dataset containing restained and co-
registered digitized images from eight head-and-neck squamous cell carcinoma patients …
registered digitized images from eight head-and-neck squamous cell carcinoma patients …