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View article: Adversarial Versus Federated: An Adversarial Learning based Multi-Modality Cross-Domain Federated Medical Segmentation
Adversarial Versus Federated: An Adversarial Learning based Multi-Modality Cross-Domain Federated Medical Segmentation Open
Federated learning enables collaborative training of machine learning models among different clients while ensuring data privacy, emerging as the mainstream for breaking data silos in the healthcare domain. However, the imbalance of medica…
View article: ViTaL: A Multimodality Dataset and Benchmark for Multi-pathological Ovarian Tumor Recognition
ViTaL: A Multimodality Dataset and Benchmark for Multi-pathological Ovarian Tumor Recognition Open
Ovarian tumor, as a common gynecological disease, can rapidly deteriorate into serious health crises when undetected early, thus posing significant threats to the health of women. Deep neural networks have the potential to identify ovarian…
View article: Artificial intelligence for instance segmentation of MRI: advancing efficiency and safety in laparoscopic myomectomy of broad ligament fibroids
Artificial intelligence for instance segmentation of MRI: advancing efficiency and safety in laparoscopic myomectomy of broad ligament fibroids Open
Background Uterine broad ligament fibroids present unique surgical challenges due to their proximity to vital pelvic structures. This study aimed to evaluate artificial intelligence (AI)-guided MRI instance segmentation for optimizing lapa…
View article: A retrospective analysis of the characteristics of acquired uterine arteriovenous malformations associated with retained products of conception
A retrospective analysis of the characteristics of acquired uterine arteriovenous malformations associated with retained products of conception Open
Our study revealed the clinical and imaging characteristics of UAVM-RPOC. Transvaginal ultrasound is the preferred examination for diagnosing UAVM-RPOC, but for cases with rich local blood flow signals, further refinement with CEUS examina…
View article: Research Progress in the Treatment of Knee Osteoarthritis Using Meridian Theory
Research Progress in the Treatment of Knee Osteoarthritis Using Meridian Theory Open
Knee osteoarthritis (KOA) is a kind of disease which is often characterized by knee pain, stiffness and muscle movement disorders, affecting the daily mental and physical health activities of arthritis patients and the quality of family li…
View article: Genetic risk stratification and risk factors of early menopause in women: a multi-center study utilizing polygenic risk scores
Genetic risk stratification and risk factors of early menopause in women: a multi-center study utilizing polygenic risk scores Open
Objective This study aims to evaluate the utility of polygenic risk scores (PRS) in women with early menopause (EM) and to investigate the clinical characteristics and risk factors associated with EM based on genetic risk. Study design Gen…
View article: [Effects of chronic intermittent hypoxia and reoxygenation on insulin resistance and skeletal muscle miR-27a-3p/PPARγ/IRS1/PI3K/AKT expressions in rats].
[Effects of chronic intermittent hypoxia and reoxygenation on insulin resistance and skeletal muscle miR-27a-3p/PPARγ/IRS1/PI3K/AKT expressions in rats]. Open
CIH increases IR, causes skeletal muscle pathology, downregulates miR-27a-3p expression, upregulates PPARγ expression, and inhibits IRS1/PI3K/AKT insulin signaling in the skeletal muscles of rats, and these changes can be reversed by reoxy…
View article: Chinese expert consensus on the pelvic exenteration for primary rectal cancer beyond total mesorectal excision planes and locally recurrent rectal cancer
Chinese expert consensus on the pelvic exenteration for primary rectal cancer beyond total mesorectal excision planes and locally recurrent rectal cancer Open
Pelvic exenteration is often required for primary rectal cancer beyond total mesorectal excision (PRC-bTME) and locally recurrent rectal cancer (LRRC). Some patients with radical resection can achieve long-term survival, but they need to f…
View article: Efficacy and safety of fezolinetant for moderate to severe vasomotor symptoms associated with menopause among women in East Asia: a phase 3 randomized study (MOONLIGHT I)
Efficacy and safety of fezolinetant for moderate to severe vasomotor symptoms associated with menopause among women in East Asia: a phase 3 randomized study (MOONLIGHT I) Open
Objective To evaluate the efficacy and safety of fezolinetant for moderate to severe vasomotor symptoms (VMS) associated with menopause in East Asian women. Methods In this phase 3, randomized, double-blind study, postmenopausal women with…
View article: Interactive segmentation of medical images using deep learning
Interactive segmentation of medical images using deep learning Open
Medical image segmentation algorithms based on deep learning have achieved good segmentation results in recent years, but they require a large amount of labeled data. When performing pixel-level labeling on medical images, labeling a targe…
View article: Relationship between chronic endometritis and fallopian tube obstruction and its influence on pregnancy outcome after fallopian tubal recanalization
Relationship between chronic endometritis and fallopian tube obstruction and its influence on pregnancy outcome after fallopian tubal recanalization Open
Background: Chronic endometritis (CE), frequently asymptomatic, is associated with female infertility. Fallopian tube obstruction (FTO) is also one of the factors contributing to female infertility. More than 90% of cases of proximal FTO c…
View article: UMD.zip
UMD.zip Open
The UMD is the uterine MRI dataset to date including 300 cases of uterine myoma T2-weighted imaging (T2WI) sagittal patient images and their corresponding annotation files.
View article: Associations between HT, BMI, and allergic rhinitis in perimenopausal women
Associations between HT, BMI, and allergic rhinitis in perimenopausal women Open
Background Increasing evidence suggests that hormone therapy (HT) and obesity exert an influence on allergic rhinitis (AR). It is important to investigate the association and interactions between HT, BMI, and AR in perimenopausal women. Me…
View article: Revolutionizing hysteroscopy outcomes: AI-powered uterine myoma diagnosis algorithm shortens operation time and reduces blood loss
Revolutionizing hysteroscopy outcomes: AI-powered uterine myoma diagnosis algorithm shortens operation time and reduces blood loss Open
Background The application of artificial intelligence (AI) powered algorithm in clinical decision-making is globally popular among clinicians and medical scientists. In this research endeavor, we harnessed the capabilities of AI to enhance…
View article: Establishment and Validation of a Machine Learning-Based Prediction Model for Termination of Pregnancy via Cesarean Section
Establishment and Validation of a Machine Learning-Based Prediction Model for Termination of Pregnancy via Cesarean Section Open
RF prediction model for caesarean section has high discrimination performance, accuracy and consistency, and outstanding generalization ability.
View article: Platelet-rich fibrin improves repair and regeneration of damaged endometrium in rats
Platelet-rich fibrin improves repair and regeneration of damaged endometrium in rats Open
Purpose Intrauterine adhesion (IUA) is the most common cause of uterine infertility. This study aims to evaluate whether platelet-rich fibrin (PRF) treatment can stimulate damaged endometrium regeneration in rats. Methods First, hematoxyli…
View article: WA-ResUNet: A Focused Tail Class MRI Medical Image Segmentation Algorithm
WA-ResUNet: A Focused Tail Class MRI Medical Image Segmentation Algorithm Open
Medical image segmentation can effectively identify lesions in medicine, but some small and rare lesions cannot be well identified. Existing studies do not take into account the uncertainty of the occurrence of diseased tissue, and the pro…
View article: Deep convolutional neural networks for multiple histologic types of ovarian tumors classification in ultrasound images
Deep convolutional neural networks for multiple histologic types of ovarian tumors classification in ultrasound images Open
Objective This study aimed to evaluate and validate the performance of deep convolutional neural networks when discriminating different histologic types of ovarian tumor in ultrasound (US) images. Material and methods Our retrospective stu…
View article: A retrospective analysis of secondary cytoreductive surgery plus hyperthermic intraperitoneal chemotherapy in patients with recurrent ovarian cancer
A retrospective analysis of secondary cytoreductive surgery plus hyperthermic intraperitoneal chemotherapy in patients with recurrent ovarian cancer Open
Aim To evaluate the effect of secondary cytoreductive surgery (SeCRS) plus hyperthermic intraperitoneal chemotherapy (HIPEC) in recurrent epithelial ovarian cancer patients. Methods This retrospective study analyzed a prospective database.…
View article: Establishment and validation of a machine learning based prediction model for termination of pregnancy via cesarean section
Establishment and validation of a machine learning based prediction model for termination of pregnancy via cesarean section Open
Purpose This study aimed to investigate the risk factors related to the termination of pregnancy via cesarean section and establish a prediction model for cesarean section based on the characteristics of pregnant women. Patients and method…
View article: An Instance Segmentation Model Based on Deep Learning for Intelligent Diagnosis of Uterine Myomas in MRI
An Instance Segmentation Model Based on Deep Learning for Intelligent Diagnosis of Uterine Myomas in MRI Open
Uterine myomas affect 70% of women of reproductive age, potentially impacting their fertility and health. Manual film reading is commonly used to identify uterine myomas, but it is time-consuming, laborious, and subjective. Clinical treatm…
View article: Improving the Segmentation Accuracy of Ovarian-Tumor Ultrasound Images Using Image Inpainting
Improving the Segmentation Accuracy of Ovarian-Tumor Ultrasound Images Using Image Inpainting Open
Diagnostic results can be radically influenced by the quality of 2D ovarian-tumor ultrasound images. However, clinically processed 2D ovarian-tumor ultrasound images contain many artificially recognized symbols, such as fingers, crosses, d…
View article: UMD.zip
UMD.zip Open
The UMD is the uterine MRI dataset to date including 300 cases of uterine myoma T2-weighted imaging (T2WI) sagittal patient images and their corresponding annotation files.
View article: UMD.zip
UMD.zip Open
The UMD is the uterine MRI dataset to date including 300 cases of uterine myoma T2-weighted imaging (T2WI) sagittal patient images and their corresponding annotation files.