Loess landslides pose a severe threat of destruction, and detecting them is crucial for
minimizing their impact on society. They typically consist of wind-deposited clay and silt …

Diabetic retinopathy (DR) is an eye disorder that affects 80-85% of diabetic patients, and
there is a need to detect it in earlier stages to take precautions. Currently, testing for DR is a …

Breast cancer has the highest incidence among women in Taiwan, which is mainly screened
by mammography. When the doctor observes the mammogram and initially judges that the …

Loess landslides are one of the geological hazards prevalent in mountainous areas of
Loess Plateau, seriously threatening people's lives and property safety. Accurate …

As one of the most prevalent and lethal diseases afflicting women today, breast cancer
detection remains a pivotal area of focus. Although mammogram images, exploited in …

This study evaluated the detection performance of four Mask R-CNN models trained in
different scenarios. The first two scenarios are trained with a learning rate of 0.01 using data …

Object detection is indispensable to visual environment sensing at basic-level. During that
detection there are imbalance between the losses of multi-task and multi-object in state-of …

Image segmentation is a widely explored research problem in the field of computer vision
and image processing. Most of the existing techniques carry out segmentation in the pixel or …

Deep learning models with convolutional neural networks are being used to solve some of
the most difficult problems in computing today. Complicating factors to the use and …

Convolutional neural networks in the task of object detection and localization have been
evolving in the last few years. Various convolutional network models have been proposed …