BACKGROUND: Tumour delineation is a challenging, time-consuming and complex part of radiotherapy planning. In this study, an automatic method for delineating locally advanced cervical cancers was developed using a machine learning approach.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Jan 21, 2016
OBJECTIVE: To compare perioperative and clinico-pathological outcomes of patients with early-stage cervical cancer who underwent robot-assisted radical hysterectomy (RRH) and open radical hysterectomy (ORH).
Nutrition (Burbank, Los Angeles County, Calif.)
Dec 29, 2015
OBJECTIVE: This study was conducted to determine the effects of long-term folate supplementation on regression and metabolic status of patients with cervical intraepithelial neoplasia grade 1 (CIN1).
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Detection of early symptoms in cervical cancer is crucial for early treatment and survival. To find symptoms of cervical cancer in clinical text, Named Entity Recognition is needed. In this paper the Clinical Entity Finder, a machine-learning tool tr...
BACKGROUND: The purpose of this retrospective study was to assess the 5-year survival outcomes of cervical cancer patients who underwent an, open radical hysterectomy (ORH), robotic-assisted radical hysterectomy (RRH) or laparoscopic radical hysterec...
The Journal of international medical research
May 22, 2015
OBJECTIVES: To develop a Web-based tool to draw attention to patients positive for human papillomavirus (HPV) who have a high risk of progression to cervical cancer, in order to increase compliance with follow-up examinations and facilitate good doct...
Japanese journal of clinical oncology
Apr 16, 2015
Surgery is effective and useful for curative treatment of patients with early invasive cervical cancer, yet minimization of surgical procedures provides many additional advantages for patients. Because the mean age of patients diagnosed with cervical...
Medical oncology (Northwood, London, England)
Nov 30, 2014
Combined with terahertz time-domain spectroscopy, the feasibility of fast and reliable diagnosis of cervical carcinoma by a fuzzy rule-building expert system (FuRES) and a fuzzy optimal associative memory (FOAM) had been studied. The terahertz spectr...