Search Results for author: Talha Qaiser

Found 13 papers, 2 papers with code

Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification

no code implementations3 May 2023 Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir Rajpoot

There has been a surge of research in deep learning models for WSI classification with clinical applications such as cancer detection or prediction of molecular mutations from WSIs.

Classification Image Classification +3

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

Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images

no code implementations30 Jan 2023 Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot

The proposed method incorporates context-aware consistency by contrasting pairs of overlapping images in a pixel-wise manner from changing contexts resulting in robust and context invariant features.

Semi-Supervised Semantic Segmentation

Classification of COVID-19 via Homology of CT-SCAN

no code implementations21 Feb 2021 Sohail Iqbal, H. Fareed Ahmed, Talha Qaiser, Muhammad Imran Qureshi, Nasir Rajpoot

In this worldwide spread of SARS-CoV-2 (COVID-19) infection, it is of utmost importance to detect the disease at an early stage especially in the hot spots of this epidemic.

Classification Computed Tomography (CT) +2

HydraMix-Net: A Deep Multi-task Semi-supervised Learning Approach for Cell Detection and Classification

no code implementations11 Aug 2020 R. M. Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, Nasir M. Rajpoot

The model is trained in multi-task learning manner with noise tolerant joint loss for classification localization and achieves better performance when given limited data in contrast to a simple deep model.

Cell Detection General Classification +1

Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring

no code implementations26 Mar 2019 Talha Qaiser, Nasir M. Rajpoot

Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast cancer (BC) is regarded as a significant predictive and prognostic marker.

Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection

no code implementations31 Jul 2018 Saad Ullah Akram, Talha Qaiser, Simon Graham, Juho Kannala, Janne Heikkilä, Nasir Rajpoot

In this paper, we present a semi-supervised mitosis detection method which is designed to leverage a large number of unlabeled breast cancer WSIs.

Mitosis Detection whole slide images

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues

no code implementations23 May 2017 Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David Snead, Ian Ellis, Mohammad Ilyas, Nasir Rajpoot

In this paper, we report on a recent automated Her2 scoring contest, held in conjunction with the annual PathSoc meeting held in Nottingham in June 2016, aimed at systematically comparing and advancing the state-of-the-art Artificial Intelligence (AI) based automated methods for Her2 scoring.

whole slide images

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