Search Results for author: Ruqayya Awan

Found 5 papers, 0 papers with code

Mimicking a Pathologist: Dual Attention Model for Scoring of Gigapixel Histology Images

no code implementations19 Feb 2023 Manahil Raza, Ruqayya Awan, Raja Muhammad Saad Bashir, Talha Qaiser, Nasir M. Rajpoot

The second component is a hard attention classification model, which further extracts a sequence of multi-resolution glimpses from each tile for classification.

Hard Attention whole slide images

Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer

no code implementations24 Feb 2022 Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza, Mohsin Bilal, Johannes Lotz, David Snead, Andrew Robinson, Nasir Rajpoot

Unlike previous studies on MSI prediction involving training a CNN using coarse labels (MSI vs Microsatellite Stable (MSS)), we have utilised fine-grain MMR labels for training purposes.

Deep Feature based Cross-slide Registration

no code implementations21 Feb 2022 Ruqayya Awan, Shan E Ahmed Raza, Johannes Lotz, Nick Weiss, Nasir Rajpoot

During the slide preparation, a tissue section may be placed at an arbitrary orientation as compared to other sections of the same tissue block.

Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images

no code implementations22 Jul 2019 Muhammad Shaban, Ruqayya Awan, Muhammad Moazam Fraz, Ayesha Azam, David Snead, Nasir M. Rajpoot

Digital histology images are amenable to the application of convolutional neural network (CNN) for analysis due to the sheer size of pixel data present in them.

Representation Learning

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