4 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis
Abdul Rehman, Sarfaraz Hussein, Waqas Sultani
Early diagnosis of breast cancer (BC) significantly contributes to reducing the mortality rate worldwide. The detection of different factors and biomarkers such as Estrogen recepto…
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…