The metastasis detection in lymph nodes via microscopic examination of H&E stained
histopathological images is one of the most crucial diagnostic procedures for breast cancer …

Computation time is an important performance metric that scientists and software engineers
use to determine whether an algorithm is capable of running within a reasonable time frame …

Artificial intelligence-enabled histopathological data analysis has become a valuable
assistant to the pathologist. However, existing models lack representation and inference …

Improvements to patient care through the development of automated image analysis in
pathology are restricted by the small image patch size that can be processed by …

Survival analysis is a valid solution for cancer treatments and outcome evaluations. Due to
the wide application of medical imaging and genome technology, computer-aided survival …

For the registration of partially overlapping point clouds, this paper proposes an effective
approach based on both the hard and soft assignments. Given two initially posed clouds, it …

Metastasis detection in lymph nodes via microscopic examination of histopathological
images is one of the most crucial diagnostic procedures for breast cancer staging. The …

Cancer is a leading global cause of death. Histopathology image analysis is widely
recognized as the gold standard for cancer diagnosis, playing a crucial role in early …

Amongst the other benefits conferred by the shift from traditional to digital pathology is the
potential to use machine learning for diagnosis, prognosis, and personalization. A major …

Vitamin D and bisphosphonates therapies for osteoporosis are... : Medicine Vitamin D and
bisphosphonates therapies for osteoporosis are associated with different risks of atrial …