PathNarratives: Data annotation for pathological human-AI collaborative diagnosis
Pathology is the gold standard of clinical diagnosis. Artificial intelligence (AI) in pathology
becomes a new trend, but it is still not widely used due to the lack of necessary explanations …
becomes a new trend, but it is still not widely used due to the lack of necessary explanations …
A comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer
Introduction Gastric cancer is the fifth most common cancer in the world. At the same time, it
is also the fourth most deadly cancer. Early detection of cancer exists as a guide for the …
is also the fourth most deadly cancer. Early detection of cancer exists as a guide for the …
Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
The automatic analysis of histology images is an open research field where machine
learning techniques and neural networks, especially deep architectures, are considered …
learning techniques and neural networks, especially deep architectures, are considered …
Pimip: An open source platform for pathology information management and integration
Digital pathology plays a crucial role in the development of artificial intelligence in the
medical field. The digital pathology platform can make the pathological resources digital and …
medical field. The digital pathology platform can make the pathological resources digital and …
Meta mask correction for nuclei segmentation in histopathological image
Nuclei segmentation is a fundamental task in digital pathology analysis and can be
automated by deep learning-based methods. However, the development of such an …
automated by deep learning-based methods. However, the development of such an …