Over the past few years, the computer vision domain has evolved and made a revolutionary
transition from human-engineered features to automated features to address challenging …

Because the diagnosis of lung cancer and malignancy using imaging techniques such as
CT-Scan without the need for sampling reduces the risk of cancer nodules spreading, the …

Breast cancer is a common neoplasm among women. The cure of the disease depends on
early identification and treatment of the tumor to avoid advanced stages such as metastasis …

Crop pest insects seriously affect yield and quality of crops, and pesticide control methods
cause severe environmental pollution, which has inextricably influenced people's daily lives …

Masks cover most areas of the face, resulting in a serious loss of facial identity information;
thus, how to alleviate or eliminate the negative impact of occlusion is a significant problem in …

Recently, artificial intelligence (AI) including machine learning (ML) and deep learning (DL)
models has been commonly employed for the automated disease diagnosis process. AI in …

Tongue color is an important part of tongue diagnosis. The change of tongue color is
affected by pathological state of body, blood rheology, and other factors. Therefore …

In conventional routing, a capsule network employs routing algorithms for bidirectional
information flow between layers through iterative processes. In contrast, the cluster …

Convolutional Neural Networks (CNNs) are frequently used algorithms because of their
propensity to learn relevant and hierarchical features through their feature extraction …

The work of the Ophthalmologist in manually detecting specific eye related disease is
challenging especially screening through large volume of dataset. Deep learning models …