Digital whole slides images contain an enormous amount of information providing a strong
motivation for the development of automated image analysis tools. Particularly deep neural …

Breast cancer has reached the highest incidence rate worldwide among all malignancies
since 2020. Breast imaging plays a significant role in early diagnosis and intervention to …

In the application of Multiple Instance Learning (MIL) methods for Whole Slide Image (WSI)
classification, attention mechanisms often focus on a subset of discriminative instances …

Diabetic retinopathy (DR) is a serious ocular condition that requires effective monitoring and
treatment by ophthalmologists. However, constructing a reliable DR grading model remains …

The computer-aided diagnosis method based on deep learning provides pathologists with
preliminary diagnostic opinions and improves their work efficiency. Inspired by the …

Multiple Instance Learning (MIL) has demonstrated promise in Whole Slide Image (WSI)
classification. However, a major challenge persists due to the high computational cost …

Purpose Lung cancer is the leading cause of cancer-related death. Early detection and
treatment are crucial to improve survival rates. Radiologists determine whether the nodules …

Recently, multiple instance learning (MIL) has been successfully used in weakly supervised
breast cancer classification on whole‐slide imaging (WSI) and has become an important …

For classifying digital whole slide images in the absence of pixel level annotation, typically
multiple instance learning methods are applied. Due to the generic applicability, such …

At present, many diseases are diagnosed by computer tomography (CT) image technology,
which affects the health of the lives of millions of people. In the process of disease …