Placenta previa describes the abnormal implantation of the placenta in the uterus of pregnant women, entirely or partially obstructing the internal cervical os. For clinical significance, it is suggested to assess the final placental location in the third trimester. In rural areas of developing countries, the absence of radiologists and sophisticated ultrasound systems make difficult the diagnosis of this condition. Ten pregnant women in their third trimester (age range of 22-43 years) were enrolled in this study. A volume sweep imaging obstetric protocol based on eight free-hand sweeping (three transverse and five longitudinal throughout the maternal abdominal area) was used. The acquisition was performed using a portable ultrasound scanner by a non-specialist. The dataset consisted of eight videos per volunteer and one hundred frames per video on average. Placental segmentation was carried out using the U-Net deep learning architecture and the leave one out cross-validation approach. The output masks combined with the knowledge of the acquisition protocol allowed to assess the spatial location likelihood of the placenta in the uterus, which is represented by a heat map. The method showed a sensitivity of 75% and a specificity of 92 %. Albeit the need for further validation, this approach may automatically warn of possible risks in childbirth, giving the chance to notify the specialist.