Obstetrics and Gynaecology Ultrasound image Analysis Towards Cryptic Pregnancy Using Deep Learning-A Review

摘要

A bizarre type of pregnancy, which will be called as pseudo pregnancy or concealment of pregnancy or denial of pregnancy is a false pregnancy, that cannot be detected by customary medical testing methods like scanning, blood and urine analysis and ultrasound due to its smaller size or the presence outside the uterus, so that it is veiled and goes undetected. Some women are not conscious about pregnancy up to the last weeks of gestation or in some circumstances till the last moment of delivering a baby. The symptoms such as nausea, sickness, vomiting will not be there if it is a symptomless pregnancy. The appearance of normal pregnancy will not be there like abdominal swelling so it will be very difficult to detect. Current statistics shows that, one in every 475 women come across such an unexpected situation till the end of twentieth week of the pregnancy, where it is referred as pseudo-mensural bleeding. The main reason behind this condition is psychological disorders and hormonal imbalance like low HCG (human chorionic gonadotropin) hormone levels and so it is treated as delusion pregnancy. This paper outlines about the various research work done in the area of obstetric ultrasound image analysis by particularly focusing on a special type of pregnancy. By using most advanced technology like deep learning, a sub field of machine learning, an effective tool can be developed for obstetrics/gynecologic image analysis. This paper focuses on performing ultrasound image analysis using deep learning technique for pregnancy analysis. The early and automatic detection is very important to avoid the unnecessary complications and risk till last moment.