In clinical practice, an essential technique that is used by pathologists to diagnose lymph
node malignancies is the visual examination of cytopathological slides. Manual visual …

Lung cancer is characterized by the uncontrollable growth of cells in the lung tissues. Early
diagnosis of malignant cells in the lungs, which provide oxygen to the human body and …

Histograms of oriented gradients (HOG) are widely employed image descriptors in modern
computer-aided diagnosis systems. Built upon a set of local, robust statistics of low-level …

Recent studies have shown promising results in using Deep Learning to detect malignancy
in whole slide imaging, however, they were limited to just predicting a positive or negative …

Accurate and automated lymph node segmentation is pivotal for quantitatively accessing
disease progression and potential therapeutics. The complex variation of lymph node …

Colon cancer is still a major public health issue, and improving patient outcomes depends
critically on early and precise diagnosis. In this work, we introduce classifying colon cancer …

Diagnosis of lymph nodes (LNs) in benign and malignant categories significantly impact the
treatment planning of cancer. Invasive methods like biopsy are complex and painful …

Cancer is a disease where abnormal cells grow uncontrollably and spread to other body
parts. It can originate anywhere in the human body, which consists of trillions of cells. These …

Pathological lymph node segmentation plays an important role in clinical practice. Yet it is
still a challenging problem owing to low contrast to surrounding structures. In this paper, we …

Simple Summary We proposed a deep learning algorithm to detect lymph nodes and
classify them in the head and neck region on computed tomography. We further analyzed …