research
∙
03/19/2023
More From Less: Self-Supervised Knowledge Distillation for Information-Sparse Histopathology Data
Medical imaging technologies are generating increasingly large amounts o...
share
research
∙
05/04/2022
Self-supervised learning unveils morphological clusters behind lung cancer types and prognosis
Histopathological images of tumors contain abundant information about ho...
research
∙
08/04/2021
Adversarial learning of cancer tissue representations
Deep learning based analysis of histopathology images shows promise in a...
research
∙
05/02/2021
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding
Large-scale pre-trained models like BERT, have obtained a great success ...
research
∙
04/24/2021
Automatic Description Construction for Math Expression via Topic Relation Graph
Math expressions are important parts of scientific and educational docum...
research
∙
12/23/2020
ConvMath: A Convolutional Sequence Network for Mathematical Expression Recognition
Despite the recent advances in optical character recognition (OCR), math...
research
∙
04/13/2020
Learning a low dimensional manifold of real cancer tissue with PathologyGAN
Application of deep learning in digital pathology shows promise on impro...
research
∙
11/27/2019
Automatic Generation of Headlines for Online Math Questions
Mathematical equations are an important part of dissemination and commun...
research
∙
07/04/2019
Pathology GAN: Learning deep representations of cancer tissue
We apply Generative Adversarial Networks (GANs) to the domain of digital...
research
∙
12/31/2018
