For a favorable prognosis of breast cancer, early diagnosis is essential. The
histopathological analysis is considered the gold standard to indicate the type of cancer …

Many existing approaches for mammogram analysis are based on single view. Some recent
DNN-based multi-view approaches can perform either bilateral or ipsilateral analysis, while …

The diagnosis of breast cancer in early stage is essential for successful treatment. Detection
can be performed in several ways, the most common being through mammograms. The …

Automatic detection of mass in mammograms is a big challenge and plays a crucial role in
assisting radiologists for accurate diagnosis. Applying excellent deep learning based …

Breast cancer is the second deadliest cancer among women. Mammography is an important
method for physicians to diagnose breast cancer. The main purpose of this study is to use …

The gold standard for breast cancer diagnosis, treatment, and management is the
histological analysis of a suspected section. Histopathology consists in analyzing the …

Breast cancer is one of the most common cause of deaths among women due to cancer. A
computer-assisted prognosis and diagnosis of breast cancer, which effectively reduces the …

Breast mass cancer remains a great challenge for developing advanced computer-aided
diagnosis (CADx) systems, to assist medical professionals for the determination of …

A new algorithm for classification of breast pathologies in digital mammography using a
convolutional neural network and transfer learning is proposed. The following pretrained …

STORET is one method to determine the river water quality, and to classify them into four
classes (very good, good, medium and bad) based on the data of water for each attribute or …