Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Histopathological diagnosis involves examining abnormal architectural patterns and cellu...
Breast cancer remains a leading cause of mortality among women worldwide, underscoring the need for ...
The medical community continually seeks innovative solutions to address healthcare challenges, parti...
This paper presents a novel method for weakly-supervised semantic segmentation (WSSS) of histology i...
Tumor-infiltrating lymphocytes (TILs) are capable of recognizing tumor antigens, impacting tumor pro...
Digital pathology relies on the morphological architecture of prostate glands to recognize cancerous...
Lung cancer remains a leading cause of cancer-related mortality worldwide, emphasizing the critical ...
In the medical field, the most common and frequent type of blood cancer is lymphoma. Accurately pred...
The identification of early micro-lesions and adjacent blood vessels in CT scans plays a pivotal rol...
Pancreatic ductal adenocarcinoma (PDA) is a highly metastatic and lethal disease. In PDA, extracellu...
Spatial transcriptomics (ST) provides crucial insights into tissue micro-environments, but is limi...
OBJECTIVE: To compare statistical outputs from ChatGPT 4.0 and human experts in both comparative and...
Federated learning (FL) has emerged as a promising paradigm for collaboratively training deep lear...
Hematoxylin and eosin (H&E) staining visualizes histology but lacks specificity for diagnostic mar...
Fast diagnosis and repair of enterprise network failures is critically important since disruptions...
Fluorescence microscopy is a major driver of scientific progress in the life sciences. Although hi...
Histological analysis plays a crucial role in understanding tissue structure and pathology. While ...
The rapid growth of digital pathology and advances in self-supervised deep learning have enabled t...
Complete removal of cancer tumors with a negative specimen margin during lumpectomy is essential i...
Pathology is experiencing rapid digital transformation driven by whole-slide imaging and artificia...
Structural observations are essential for the advancement of life science. Volume electron microscop...