Nasir Rajpoot
5 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
2019
Colorectal cancer (CRC) grading is typically carried out by assessing the degree of gland formation within histology images. To do this, it is important to consider the overall tissue micro-environment by assessing the cell-level information …
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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 …
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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 …
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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 …
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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 …