Deep learning has gained huge traction in recent years because of its potential to make
informed decisions. A large portion of today's deep learning systems are based on …

X-ray imagery systems have enabled security personnel to identify potential threats
contained within the baggage and cargo since the early 1970s. However, the manual …

Understanding urban scenes is a fundamental capability required of intelligent vehicles.
Depth cues provide useful geometric information for semantic segmentation, thus …

Prostate cancer (PCa) is one of the deadliest cancers in men, and identifying cancerous
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …

In the last two decades, monitoring contraband data concealed within baggage has become
one of the most pressing security issues. Manual screening of baggage is a time-consuming …

In the last two decades, baggage scanning has become one of the prime aviation security
concerns worldwide. Manual screening of the baggage items is tedious and an error-prone …

Semantic segmentation, which aims to accurately identify each pixel, is a meaningful and
challenging task. Recently, we witness a strong tendency to improve model efficiency in low …

Autonomous detection of threat items from baggage X-ray imagery is one of the most vital
and challenging tasks. Manual detection of these items is a cumbersome, slow, and error …

Retinopathy is a group of retinal diseases that causes severe retinal damage, resulting in
partial visual impairment or complete vision loss. Due to the capability of optical coherence …

Detecting cluttered and overlapping contraband items from baggage scans is one of the
most challenging tasks, even for human experts. Recently, considerable literature has grown …