6 papers
Multilingual Hematology Visual Question Answering Dataset
Hajra Malik, Hafiza Tooba Aftab, Abdul Rehman +2
Vision Language Models (VLMs) have shown promising capabilities in medical image analysis by jointly understanding visual and textual information for tasks such as Visual Question…
Uni-Hema: Unified Model for Digital Hematopathology
Abdul Rehman, Iqra Rasool, Ayisha Imran +2
Digital hematopathology requires cell-level analysis across diverse disease categories, including malignant disorders (e.g., leukemia), infectious conditions (e.g., malaria), and n…
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset
Abdul Rehman, Talha Meraj, Aiman Mahmood Minhas +4
Leukemia is the 10th most frequently diagnosed cancer and one of the leading causes of cancer-related deaths worldwide. Realistic analysis of leukemia requires white blood cell (WB…
AdaptiveCDM: Source-Free Few-Shot Domain Adaptation for Cell Detection in Microscopic Images
Nimra Dilawar, Sara Nadeem, Javed Iqbal +2
Cross-domain cell detection for microscopic images suffers from performance degradation due to distribution shifts across imaging domains. Unsupervised Domain Adaptation (UDA) stra…
Few-Shot Domain Adaptive Object Detection for Microscopic Images
Sumayya Inayat, Nimra Dilawar, Waqas Sultani +1
In recent years, numerous domain adaptive strategies have been proposed to help deep learning models overcome the challenges posed by domain shift. However, even unsupervised domai…
A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
Abdul Rehman, Talha Meraj, Aiman Mahmood Minhas +3
Earlier diagnosis of Leukemia can save thousands of lives annually. The prognosis of leukemia is challenging without the morphological information of White Blood Cells (WBC) and re…