Objectives To evaluate the diagnostic performance of three versions of a deep-learning
convolutional neural network in terms of object detection and segmentation using a …

Breast cancer detection is considered a challenging task for the average experienced
radiologist due to the variation of the lesions' size and shape, especially with the existence …

Accurate identification of Seriola dumerili (SD) offers crucial technical support for
aquaculture practices and behavioral research of this species. However, the task of …

In a printing production process, paper often exhibits various surface defects due to
objective factors. These defects manifest in different forms and are typically small and …

Microscopic detection of acid-fast bacilli (AFB) from mycobacterium tuberculosis (MTB) in
Ziehl-Neelsen (ZN)-stained sputum samples is a crucial step in the detection of TB …

This paper presents a novel machine learning-based approach for detecting abnormal ship
movements using CCTV videos. Our method utilizes graph-based algorithms to analyze ship …

This thesis introduces a nondestructive inspection and weight grading device for chicken
wings to replace the traditional manual grading operation. A two-sided quality …

Automatic detection of defects in mature litchi plays a vital role in the classification of fruit
grades. The existing method mainly relies on manual, it is difficult to meet the needs of …

Scanning tunneling microscopy (STM) imaging has been routinely applied in studying
surface nanostructures owing to its capability of acquiring high-resolution molecule-level …

In today's world, where computers and other electronic devices are in every office and home,
cursor control is becoming an increasingly important task. Eye tracking can be used to …