The histopathological analysis is the benchmark in the diagnosis of breast cancer. During
the formation of microscopic images, it may be corrupted due to Poisson noise, artifacts, and …

Microscopic biopsies play a critical role in the identification of lung cancer. The readable
features of lung such as tissue and cell are usually affected by Poisson noise. Moreover, the …

The use of computer-aided image analysis for disease diagnosis and prognosis has
dramatically increased during the past 10 years. The introduction of computer-assisted …

Mammography is a proven imaging modality for the screening of breast cancer that helps to
evaluate the existence of calcification, masses, tissue density, lump shape and edges …

Digital mammogram images contain many noises (ie, salt and pepper, speckles) and
artifacts (ie, opacity, markers, chest wall, date, and background). Artifacts, illumination, and …

In diagnosing breast cancer, digital mammograms have shown their effectiveness as an
appropriate and simple instrument in the early detection of tumor. Mammograms offer helpful …

Background and objectives Computer aided analysis of mammograms has been employed
by radiologists as a vital tool to increase the precision in the diagnosis of breast cancer. The …

Breast Cancer is a one of the major disease for women in today's world. The aim of this
paper is to develop a robust and image pre-processing methods to realize mammogram …

In the worldwide, breast cancer is one of the major diseases among the women. In the
modern medical science, there are plenty of newly devised methodologies and techniques …

Ultrasound is a well-known imaging modality for the interpretation of breast cancer. It is
playing very important role for breast cancer detection that are missed by mammograms …