Spatially-constrained and-unconstrained bi-graph interaction network for multi-organ pathology image classification
In computational pathology, graphs have shown to be promising for pathology image
analysis. There exist various graph structures that can discover differing features of …
analysis. There exist various graph structures that can discover differing features of …
ST-Double-Net: A Two-Stage Breast Tumor Classification Model Based on Swin Transformer and Weakly Supervised Target Localization
S Hao, Y Jia, J Liu, Z Wang, C Liu, Z Ji… - IEEE Access, 2024 - ieeexplore.ieee.org
Breast cancer is the second deadliest cancer (after lung cancer) globally among women,
with high incidence and mortality rates. Its early diagnosis is pivotal for improving the cure …
with high incidence and mortality rates. Its early diagnosis is pivotal for improving the cure …
A mutual reconstruction network model for few-shot classification of histological images: addressing interclass similarity and intraclass diversity
X Li, Y Zhang, F Ge - Quantitative Imaging in Medicine and …, 2024 - pmc.ncbi.nlm.nih.gov
Background The automated classification of histological images is crucial for the diagnosis
of cancer. The limited availability of well-annotated datasets, especially for rare cancers …
of cancer. The limited availability of well-annotated datasets, especially for rare cancers …