Top journals
Frequent coauthors
- Sakai M 4
- Ishiguro T 4
- Tsukasa Saida 4
- Mori K 3
- Satoh T 3
- Nakajima T 3
- Amano T 2
- Shibuki S 2
- Urushibara A 2
- Miki Yoshida 1
ObjectivesTo investigate the frequency and patterns of calcification in ovarian tumours and evaluate their association with various histological types and malignancy grades.MethodsThis retrospective study included patients who underwent non…
This review focuses on inflammatory diseases of female and male genital organs and discusses their epidemiology, pathogenesis, clinical presentation, and imaging findings. The female section covers pelvic inflammatory disease (PID) primaril…
BackgroundThis study aimed to compare deep learning with radiologists' assessments for diagnosing ovarian carcinoma using MRI.MethodsThis retrospective study included 194 patients with pathologically confirmed ovarian carcinomas or borderli…
PurposeTo verify whether deep learning can be used to differentiate between carcinosarcomas (CSs) and endometrial carcinomas (ECs) using several magnetic resonance imaging (MRI) sequences.Material and methodsThis retrospective study include…