Malignant nodules may be due to primary tumors or a metastasis and, given the importance
of diagnosing early primary lung tumors, the detection of pulmonary nodules is critical …

Background Accurate segmentation and recognition algorithm of lung nodules has great
important value of reference for early diagnosis of lung cancer. An algorithm is proposed for …

With the rapid development of digital information, the data volume generated by humans
and machines is growing exponentially. Along with this trend, machine learning algorithms …

The amount of digital data in the universe is growing at an exponential rate with the rapid
development of digital information, and this reveals new machine learning methods …

Over the last few decades, pattern classification has become one of the most important fields
of artificial intelligence because it constitutes an essential component in many different real …

One drawback of Computer Aided Detection (CADe) systems is the large amount of data
needed to train them, which may be expensive in the medical field. We propose using a …

Background: Pulmonary or benign nodules are classified as nodules with a diameter of 3 cm
or less and defined as non-cancerous nodules. The early diagnosis of malignant lung …

The fuzzy min-max (FMM) neural network stands as a useful model for solving pattern
classification problems. FMM has many important features, such as online learning and one …

Early detection of lung nodules from CT scans is key to improving lung cancer treatment, but
poses a significant challenge for radiologists due to the high throughput required of them …

Для повышения функциональной безопасности радиоэлектронной аппаратуры
прибегают к резервированию ее блоков, узлов и межсоединений. В отличие от широко …