The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …

Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …

As realistic facial manipulation technologies have achieved remarkable progress, social
concerns about potential malicious abuse of these technologies bring out an emerging …

Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

The performance of most conventional classification systems relies on appropriate data
representation and much of the efforts are dedicated to feature engineering, a difficult and …

Lung cancer is responsible for a large proportion of cancer-related deaths across the globe,
with delayed detection being perhaps the most significant factor for its high mortality rate …

Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

Importance There has been significant recent interest in understanding the utility of
quantitative imaging to delineate breast cancer intrinsic biological factors and therapeutic …

Computer vision has been studied from many persective. It expands from raw data recording
into techniques and ideas combining digital image processing, pattern recognition, machine …

No predictive biomarkers can robustly identify patients with non–small cell lung cancer
(NSCLC) who will benefit from immune checkpoint inhibitor (ICI) therapies. Here, in a …