Results 61 to 70 of about 352,025 (244)
Deep Learning based Automatic Quantification of Urethral Plate Quality using the Plate Objective Scoring Tool (POST) [PDF]
arXiv, 2022 Objectives: To explore the capacity of deep learning algorithm to further streamline and optimize urethral plate (UP) quality appraisal on 2D images using the plate objective scoring tool (POST), aiming to increase the objectivity and reproducibility of UP appraisal in hypospadias repair.
arxiv
BJU International, Volume 131, Issue 1, Page 101-108, January 2023., 2023 Objective To analyse the efficacy and safety of focal prostate‐specific membrane antigen positron emission tomography (PSMA‐PET)‐ and multiparametric magnetic resonance imaging (mpMRI)‐guided single‐fraction stereotactic body radiotherapy (SBRT) for the treatment of prostate cancer (PCa) local recurrences.
Felix Ehret +6 more
wiley +1 more source
Brazilian Journal of Veterinary Medicine, 2019 Adenocarcinomas are malignant epithelial neoplasms of glandular nature and have been reported in many organs of companion animals including the lungs, thyroid, prostate, mammary glands, gallbladder, pancreas, esophagus, stomach, and intestine. In felines,
Ana Carolina de Souza Campos +6 more
doaj +1 more source
Order-of-mutation effects on cancer progression: models for myeloproliferative neoplasm [PDF]
arXiv, 2023 We develop a modeling framework for cancer progression that distinguishes the order of two possible mutations. Recent observations and information on myeloproliferative neoplasms are analyzed within our framework. In some patients with myeloproliferative neoplasms, two genetic mutations can be found, JAK2 V617F and TET2.
arxiv
Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival [PDF]
, 2023 Determining the most informative features for predicting the overall survival of patients diagnosed with high-grade gastroenteropancreatic neuroendocrine neoplasms is crucial to improve individual treatment plans for patients, as well as the biological understanding of the disease. Recently developed ensemble feature selectors like the Repeated Elastic
arxiv +1 more source
BlazeNeo: Blazing fast polyp segmentation and neoplasm detection [PDF]
arXiv, 2022 In recent years, computer-aided automatic polyp segmentation and neoplasm detection have been an emerging topic in medical image analysis, providing valuable support to colonoscopy procedures. Attentions have been paid to improving the accuracy of polyp detection and segmentation.
arxiv
A 49-year-old woman presenting with hepatoid adenocarcinoma of the urinary bladder: a case report
Journal of Medical Case Reports, 2013 Introduction Adenocarcinomas represent less than 2 percent of all urothelial neoplasms. Hepatoid adenocarcinoma is rare in the urinary bladder. Pathological diagnosis is based on a combination of histological features resembling hepatocellular carcinoma ...
Sekino Yohei +2 more
doaj +1 more source
Insights into Imaging, 2020 Objectives To study the diffusion tensor-based fiber tracking feasibility to access the male urethral sphincter complex of patients with prostate cancer undergoing Retzius-sparing robot-assisted laparoscopic radical prostatectomy (RS-RARP).
Ana S. C. Verde +7 more
doaj +1 more source
NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection [PDF]
arXiv, 2021 Automatic polyp segmentation has proven to be immensely helpful for endoscopy procedures, reducing the missing rate of adenoma detection for endoscopists while increasing efficiency. However, classifying a polyp as being neoplasm or not and segmenting it at the pixel level is still a challenging task for doctors to perform in a limited time.
arxiv
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source