3 papers
cs.CV2025
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…
cs.CV2025
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…
cs.CV2025
MIAdapt: Source-free Few-shot Domain Adaptive Object Detection for Microscopic Images
Nimra Dilawar, Sara Nadeem, Javed Iqbal +2
Existing generic unsupervised domain adaptation approaches require access to both a large labeled source dataset and a sufficient unlabeled target dataset during adaptation. Howeve…