Results 61 to 70 of about 65,450 (271)
Giant serous papillary cystadenoma [PDF]
Medical Journal Armed Forces India, 2011 Serous tumours develop by invagination of the surface epithelium of ovary and they secrete serous fluid. Serous tumours are generally benign; 5–10% have borderline malignant potential, and 20–25% are malignant. Serous cystadenomas usually are multilocular and sometimes have papillary projections.
Madhusudan Dey, Niloy Pathak
openaire +2 more sources
BMEMat, EarlyView.A double‐positive surface marker detection approach was developed to conduct exosome surface protein detection in serum samples. It reaches single‐exosome detection, and over 300 exosome protein parameters are analyzed. The diagnostic accuracy achieved 90% in differentiation of high‐grade serous/serous ovarian carcinoma patients, benign patients, and ...
Jiaoyan Qiu +7 more
wiley +1 more source
Digital pathology-based study of cell- and tissue-level morphologic features in serous borderline ovarian tumor and high-grade serous ovarian cancer [PDF]
arXiv, 2020 Serous borderline ovarian tumor (SBOT) and high-grade serous ovarian cancer (HGSOC) are two distinct subtypes of epithelial ovarian tumors, with markedly different biologic background, behavior, prognosis, and treatment. However, the histologic diagnosis of serous ovarian tumors can be subjectively variable and labor-intensive as multiple tumor slides ...
arxiv
Ultrasound in Obstetrics &Gynecology, EarlyView.ABSTRACT Objective To describe the clinical and ultrasound characteristics of serous and mucinous cystadenomas in the adnexa. Methods This was a retrospective international multicenter study. Using the International Ovarian Tumor Analysis (IOTA) database, patients with a histological diagnosis of serous or mucinous cystadenoma who had undergone ...
F. Mascilini +20 more
wiley +1 more source
GANT61 Modulates Autophagy and Lipid Metabolism in Ovarian Cancer
Cell Proliferation, EarlyView.GANT61 induced autophagy via the AKT pathway and promoted the accumulation of lipid droplets in both cell lines. The molecular mechanism behind this lipid accumulation appears to involve the mediation of SREBP1. Furthermore, the combination of GANT61 with CQ/Fatostatin significantly inhibited the proliferation and clonogenicity of SKOV3 and SKOV3PTX ...
Yibin Pan +13 more
wiley +1 more source
Uncertainty aware and explainable diagnosis of retinal disease [PDF]
arXiv, 2021 Deep learning methods for ophthalmic diagnosis have shown considerable success in tasks like segmentation and classification. However, their widespread application is limited due to the models being opaque and vulnerable to making a wrong decision in complicated cases. Explainability methods show the features that a system used to make prediction while
arxiv
Primary hyperparathyroidism in a domestic shorthair cat following I131 radioiodine therapy
Journal of Small Animal Practice, EarlyView.A 12‐year‐old male neutered domestic shorthaired cat presented for further assessment of a cervical mass, having undergone radioiodine therapy for treatment of hyperthyroidism 2 years prior to presentation. Initial cytological diagnosis of the mass was supportive of a carcinoma and laboratory results were consistent with primary hyperparathyroidism ...
E. Ruane +3 more
wiley +1 more source
Recent Developments in Detection of Central Serous Retinopathy through Imaging and Artificial Intelligence Techniques A Review [PDF]
arXiv, 2020 Central Serous Retinopathy (CSR) or Central Serous Chorioretinopathy (CSC) is a significant disease that causes blindness and vision loss among millions of people worldwide. It transpires as a result of accumulation of watery fluids behind the retina. Therefore, detection of CSR at early stages allows preventive measures to avert any impairment to the ...
arxiv
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation [PDF]
arXiv, 2022 Deep learning has been widely used to analyze digitized hematoxylin and eosin (H&E)-stained histopathology whole slide images. Automated cancer segmentation using deep learning can be used to diagnose malignancy and to find novel morphological patterns to predict molecular subtypes. To train pixel-wise cancer segmentation models, manual annotation from
arxiv
Cystic Lesions of the Pancreas [PDF]
, 2014 With the increasing use of abdominal imaging, cystic lesions of the pancreas are being more frequently detected. These lesions may carry a significant premalignant potential.
Azzopardi, Neville
core