With the increase in the usage of mobile devices such as smartphones, laptops,
smartwatches, etc., access to information and communication has been effortless and …

Sex assessment of skeletal remains in the context of forensic investigation is one of the most
important components when constructing biological profile of the deceased individual since …

It is a significant challenge to obtain accurate boundary of tumors due to much speckle
noises. In this paper, we proposed some meaningful modules to address the problem …

Pattern recognition (PR) is a challenging task when images contain distortion, partial shape,
overlap, occluded, noise and segmentation error in the digital image. This paper presents a …

Recent advances in computer-aided diagnosis (CAD) technology have brought about more
possibilities to segment and classify breast tumors. In the past decades, breast related …

The internet is the result of technological developments that provide positive results for
human life in various fields. This field is no exception in the business world or so-called e …

Segmentation algorithms based on supervised learning have achieved good results, but
supervised learning algorithms require a large amount of labeled data for training. The …

Early diagnosis and treatment of lung cancer patients can help to reduce a lung cancer
mortality rate that contributes to more than 11.6% of the total cancer-associated deaths …

The pioneering nature of this work covers the answers to two questions:(1) Is an up-to-date
anatomical model of the larynx needed for modern endoscopic diagnostics, and (2) can …

Automatic segmentation of brain tumor plays an important role in the process of diagnosis
and treatment. In recent years, scholars have been actively studying 3D brain MRI images …