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Vaginitis is a gynecological disease affecting the health of millions of women all over the world. The traditional diagnosis of vaginitis is based on manual microscopy, which is time-consuming and tedious. The deep learning method offers a fast and reliable solution for an automatic early diagnosis of vaginitis. However, deep neural networks require massive well-annotated data. Manual annotation of microscopic images is highly cost extensive because it not only is a time-consuming process but also needs highly trained people (doctors, pathologists, or technicians). Most existing active learning approaches are not applicable in microscopic images due to the nature of complex backgrounds and numerous formed elements. To address the problem of high cost of labeling microscopic images, we present a data-efficient framework for the identification of vaginitis based on transfer learning and active learning strategies. The proposed informative sample selection strategy selected the minimal training subset, and then the pretrained convolutional neural network (CNN) was fine-tuned on the selected subset. The experiment results show that the proposed pipeline can save 37.5% annotation cost while maintaining competitive performance. The proposed promising novel framework can significantly save the annotation cost and has the potential of extending widely to other microscopic imaging applications, such as blood microscopic image analysis., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2022 Ruqian Hao et al.)

Unsafe abortion is one of the most neglected healthcare problems in developing countries. One of the rare complications of unsafe abortion is retained foetal bone. Prevalence of disease is around 0.15% among patients undergoing diagnostic hysteroscopy. Patients have no specific symptoms. Case reports have focused on subfertility, abnormal uterine bleeding, lower abdominal pain, abnormal vaginal discharge, dyspareunia, dysmenorrhoea and spontaneous passage of bony fragments. Retained foetal bone fragments may cause acute pelvic inflammatory disease in rare cases regardless of the time interval after abortion. This condition can also present as recurrent vagitinis or endometritis refractory to ampirical antimicrobial treatment. In such cases, foreign body in uterine cavity should be kept in mind. Such patients should primarily be evaluated by ultrasonography which has substantial clinical importance in differential diagnosis of these cases. We present a case of misdiagnosed retained foetal bone complicated with recurrent vaginal discharge and acute pelvic inflammatory disease.