Breast cancer is a problem for women's health globally. Early detection techniques come in
a variety of forms ranging from local to systemic and from non-invasive to invasive. The …

Breast cancer detection using mammogram images at an early stage is an important step in
disease diagnostics. We propose a new method for the classification of benign or malignant …

Prostate cancer can be diagnosed by prostate biopsy using transectal ultrasound guidance.
The high number of pathology images from biopsy tissues is a burden on pathologists, and …

Efficient classification of vibration signals detected by phase-sensitive optical time domain
reflectometer (Φ-OTDR) based on small samples is an effective method to reduce the false …

Breast cancer is one of the most prevalent cancers among women worldwide, and early
detection of the disease can be lifesaving. Detecting breast cancer early allows for treatment …

Advancements in digital pathology and computing resources have made a significant impact
in the field of computational pathology for breast cancer diagnosis and treatment. However …

Deep learning algorithms help achieve promising results in diagnosis of cancer patient.
However, obtaining patient confidential data and medical images of cancer patient from …

BACKGROUND: Breast cancer is one of the leading causes of death in women worldwide.
Histopathology analysis of breast tissue is an essential tool for diagnosing and staging …

Segmentation of nuclei in digital histopathology image analysis plays a critical role in the
early assessment of breast cancer and may enable patients to get appropriate treatment. In …

Background Machine learning can be used to predict the different onset of human cancers.
Highly dimensional data have enormous, complicated problems. One of these is an …