research
∙
02/23/2021
Cell abundance aware deep learning for cell detection on highly imbalanced pathological data
Automated analysis of tissue sections allows a better understanding of d...
share
research
∙
11/10/2020
Glioma Classification Using Multimodal Radiology and Histology Data
Gliomas are brain tumours with a high mortality rate. There are various ...
research
∙
08/01/2019
ConCORDe-Net: Cell Count Regularized Convolutional Neural Network for Cell Detection in Multiplex Immunohistochemistry Images
In digital pathology, cell detection and classification are often prereq...
research
∙
08/07/2018
Capturing global spatial context for accurate cell classification in skin cancer histology
The spectacular response observed in clinical trials of immunotherapy in...
research
∙
06/28/2018
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images
Ki67 is an important biomarker for breast cancer. Classification of posi...
research
∙
06/18/2018
