Tissue phenotyping is a fundamental computational pathology (CPath) task...
The accelerated adoption of digital pathology and advances in deep learn...
Contrastive visual language pretraining has emerged as a powerful method...
In the current development and deployment of many artificial intelligenc...
The rapidly emerging field of deep learning-based computational patholog...
The expanding adoption of digital pathology has enabled the curation of ...
Cancer prognostication is a challenging task in computational pathology ...
Frozen sectioning (FS) is the preparation method of choice for microscop...
Deep Learning-based computational pathology algorithms have demonstrated...
Cancers of unknown primary (CUP), represent 1-3
enigmatic disease where ...
The rapidly emerging field of computational pathology has the potential ...
Cancer diagnosis, prognosis and therapeutic response predictions are bas...
Histology-based grade classification is clinically important for many ca...
Convolutional neural networks can be trained to perform histology slide
...