1 citations · 2 across the 4 of their papers we have counts for
4 papers
Deep Learning for Automated Quantification of Tumor-Associated Macrophages from H&E-Stained Slides in Diffuse Large B-Cell Lymphoma
Anastasiia Studenikina, Svetlana Illarionova, Joaquim Carreras +7
While M2-polarized tumor-associated macrophages (TAMs) have been established as indicators of disease aggressiveness in diffuse large B-cell lymphoma (DLBCL), traditional CD163 imm…
Boundary-Aware Vision Transformer for Angiography Vascular Network Segmentation
Nabil Hezil, Suraj Singh, Vita Vlasova +3
Accurate segmentation of vascular structures in coronary angiography remains a core challenge in medical image analysis due to the complexity of elongated, thin, and low-contrast v…
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
Faseela Abdullakutty, Younes Akbari, Somaya Al-Maadeed +2
It is imperative that breast cancer is detected precisely and timely to improve patient outcomes. Diagnostic methodologies have traditionally relied on unimodal approaches; however…
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures
Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov +3
Retinal vascular segmentation, a widely researched topic in biomedical image processing, aims to reduce the workload of ophthalmologists in treating and detecting retinal disorders…