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Segmentation of ultrasound (US) images of breast cancer is one of the most challenging problems of modern medical image processing. A number of popular codes for US segmentation are based on the active contours (snakes) and on a variety of modifications of gradient vector flow. The snakes have been used to locate objects in various applications of medical images. However, the main difficulty in applying the method is initialization. Therefore, we suggest a new method for automatic initialization of active contours based on phase portrait analysis (PPA) of the underlying vector field and a sequential initialization of trial multiple snakes. The PPA makes it possible to exclude the noise and artifacts and properly initialize the multiple snakes. In turn, the trial snakes allow us to differentiate between the seeds initialized inside and outside the desired object. While preceding methods require the manual selection of at least one seed point inside the object or rely on the particular distribution of the gray levels, the proposed method is fully automatic and robust to the noise, as can be seen from the tests with synthetic and real images.

Currently, viral infection diseases cause high mortality rates all over the world such as Ebola, HIV, H5N1, and COVID-19. Nowadays, gene-based therapeutic or personalized medicines are considered in clinical decisions for treating patients. Furthermore, medicines from natural sources such as plant-derived medicine or herbs are wildly used because of easy accessibility, lessor side effects, safer and cheaper. Therefore, this study aims to identify 1) microRNA-target gene interaction of the genes that involve in anti-virus infection by applying various individual classification techniques and the ensemble technique and 2) the combination of phytochemicals compounds that possibly be potential drugs to treat specific biological pathways related to viral infection using clustering technique named MCODE. Our outcome of the present work is to contribute to the discovery of genetic-based therapy and to identify the phytochemical compounds for increasing the efficacy of the treatment of diseases caused by viruses with minor side effects.

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