Detection of Tumor-Infiltrating Lymphocytes (TILs) has a high prognostic value in cancer
diagnosis due to their ability to identify and kill cancer cells. However, this task is non-trivial …

Transformers, due to their ability to learn long range dependencies, have overcome the
shortcomings of convolutional neural networks (CNNs) for global perspective learning …

Tumor-infiltrating lymphocytes, specialized immune cells, are considered an important
biomarker in cancer analysis. Automated lymphocyte detection is challenging due to its …

Tumor-infiltrating lymphocytes are specialized lymphocytes that can detect and kill
cancerous cells. Their detection poses many challenges due to significant morphological …

Human immune system plays a vital role in cancer prevention. Tumor Infiltrating
Lymphocytes (TILs) are specialized immune cells that infiltrate tumor region. Studies have …

Background Immuno-score, a prognostic measure for cancer, employed in determining
tumor grade and type, is generated by counting the number of Tumour-Infiltrating …

Automatic detection of lymphocyte in H&E images is a necessary first step in lots of tissue
image analysis algorithms. An accurate and robust automated lymphocyte detection …

In healthcare, microscopic analysis of blood-cells is considered significant in diagnosing
acute lymphocytic leukemia (ALL). Manual microscopic analysis is an error-prone and …

Purpose Cancer is one of the most life-threatening and devastating diseases in the world.
The generally recognized standard for cancer staging is the TNM staging system. In …

Leukocytes serve as an important barrier to healthy immunity in the body and play an
important role in fighting diseases. Manual morphological examination of leukocytes is the …