Breast cancer is one of the leading causes of death by cancer in women, and it often
requires accurate detection of metastasis in lymph nodes through Whole-slide Images …

Metastasis detection of lymph nodes in Whole-slide Images (WSIs) plays a critical role in the
diagnosis of breast cancer. Automatic metastasis detection is a challenging issue due to the …

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

Breast cancer diagnosis often requires accurate detection of metastasis in lymph nodes
through Whole-slide Images (WSIs). Recent advances in deep convolutional neural …

We propose a recurrent neural network-based spatio-temporal framework named maskGRU
for the detection and tracking of small objects in videos. While there have been many …

With the development of deep learning and computation pathology, whole-slide images
(WSIs) are wildly used in clinical diagnosis. The WSI, which refers to the scanning of …

Event cameras, or dynamic vision sensors, have recently achieved success from
fundamental vision tasks to high-level vision researches. Due to its ability to asynchronously …

The image or video input from the camera is one of the important data sources for
unmanned vehicles to perceive the environment. However, the 2D/3D bounding box can …

Automatic detection of cancer metastasis from whole slide images (WSIs) is a crucial step for
following patient staging and prognosis. Recent convolutional neural network based …

In the visual object tracking task, the existing trackers cannot well solve the appearance of
deformation, occlusion, and similar object interference, etc. To address these problems, this …