Hyperspectral imaging has shown tremendous growth over the past three decades.
Hyperspectral imaging was evolved through remote sensing. Along, with the technological …

Recent advancements in deep learning, particularly convolutional networks, have rapidly
become the preferred methodology for analyzing medical images, facilitating tasks like …

Breast cancer is the most common cancer in women and poses a great threat to women's life
and health. Mammography is an effective method for the diagnosis of breast cancer, but the …

Face recognition is diversely used in modern biometric and security applications. Most of the
current face recognition techniques show good results in a constrained environment …

Rapid and accurate detection of a C-shaped root canal on mandibular second molars can
assist dentists in diagnosis and treatment. Oral panoramic radiography is one of the most …

Over the recent years, object detection in satellite imagery has become a crucial task in
remote sensing applications. Specifically, the detection of aircraft is critical for military …

Radiology experts often face difficulties in mammography mass lesion labeling, which may
lead to conclusive yet unnecessary and expensive breast biopsies. This paper focuses on …

Abstract Background H3K27M mutation status significantly affects the prognosis of patients
with diffuse midline gliomas (DMGs), but this tumor presents a high risk of pathological …

Colorectal cancer is a high death rate cancer until now; from the clinical view, the diagnosis
of the tumour region is critical for the doctors. But with data accumulation, this task takes lots …

Deep learning has played a potential role in quality healthcare with fast automated and
proper medical image analysis. In clinical applications, medical imaging is one of the most …