Fayyaz Minhas

Cross-Domain Knowledge Transfer for Prediction of Chemosensitivity in Ovarian Cancer Patients

2020

In this paper, we report a novel deep neural network framework for prediction of chemo-sensitivity in ovarian cancer patients. The proposed model is based on Multiple Instance Learning (MIL) and a novel variant of Learning …

SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer

2021 · arXiv (Cornell University)

Human epidermal growth factor receptor 2 (HER2) is an important prognostic and predictive factor which is overexpressed in 15-20% of breast cancer (BCa). The determination of its status is a key clinical decision making step …

Cross-linking breast tumor transcriptomic states and tissue histology

2023 · Cell Reports Medicine

Identification of the gene expression state of a cancer patient from routine pathology imaging and characterization of its phenotypic effects have significant clinical and therapeutic implications. However, prediction of expression of individual genes from whole …

From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review

2025 · arXiv (Cornell University)

Whole slide image (WSI) registration is an essential task for analysing the tumour microenvironment (TME) in histopathology. It involves the alignment of spatial information between WSIs of the same section or serial sections of a …