scholarly journals http://www.oncologypractice.com/jcso/the-publication/past-issue-single-view/multivisceral-resection-for-growing-teratoma-syndrome-overcoming-pessimism/cb49d418405e0a8ce6ef983f4b72c09a.html

2016 ◽  
Vol 14 (7) ◽  
pp. 323-325
Author(s):  
Ashutossh Naaraayan ◽  
Prakriti Bista ◽  
Abhishek Nimkar ◽  
Ian Hantman ◽  
Gordana Katava ◽  
...  
Keyword(s):  
Multivisceral Resection ◽  
Growing Teratoma Syndrome ◽  
Single View ◽  
Past Issue

scholarly journals Multivisceral resection for growing teratoma syndrome: overcoming pessimism

2016 ◽  
Vol 14 (7) ◽  
pp. 3210-322
Author(s):  
Mukur Ray ◽  
Bharat Khurse ◽  
Tapan Chauhan ◽  
Ashish Jakhetiya ◽  
Pankaj Garg
Keyword(s):  
Multivisceral Resection ◽  
Growing Teratoma Syndrome

Abstraction and Understanding of Indoor Scenes from Single-View RGB-D Scanning Data

2018 ◽  
Vol 30 (6) ◽  
pp. 1046
Author(s):  
Yuliang Sun ◽  
Yongwei Miao ◽  
Lijie Yu ◽  
Pajarola Renato
Keyword(s):  
Single View ◽  
Indoor Scenes

Effect of endoscopic surgical skill qualification system for laparoscopic multivisceral resection: Japanese multicenter analysis

2021 ◽  
Author(s):  
Hiroki Katayama ◽  
Tetsuro Tominaga ◽  
Takashi Nonaka ◽  
Hideo Wada ◽  
Kazuo To ◽  
...  
Keyword(s):  
Multivisceral Resection ◽  
Surgical Skill ◽  
Multicenter Analysis

scholarly journals Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration

2021 ◽  
Author(s):  
Yaroslava Lochman ◽  
Oles Dobosevych ◽  
Rostyslav Hryniv ◽  
James Pritts
Keyword(s):  
Single View

scholarly journals GCT-53. CASE OF INTRACRANIAL GROWING TERATOMA SYNDROME WITH DIFFICULTY IN TIMING OF RESECTION

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii339-iii339
Author(s):  
Hidenobu Yoshitake ◽  
Hideo Nakamura ◽  
Yuta Hamamoto ◽  
Yusuke Otsu ◽  
Jin Kikuchi ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Endoscopic Third Ventriculostomy ◽  
Obstructive Hydrocephalus ◽  
Mature Teratoma ◽  
Timing Of Surgery ◽  
Optimal Timing ◽  
Third Ventriculostomy ◽  
Mixed Tumor ◽  
Gland Tumor ◽  
Growing Teratoma Syndrome

Abstract BACKGROUND Intracranial Growing teratoma syndrome(iGTS) is a phenomenon in which a tumor with a teratoma component grows during treatment, and its pathological tissue is often a mature teratoma. Here we report a case of iGTS in which the timing of surgery was determined by tumor markers and changes in tumor size on MRI images. CASE-REPORT: 11-year-old boy with a short stature. He developed a headache and we found a pineal gland tumor on MRI. Due to obstructive hydrocephalus, an endoscopic third ventriculostomy and biopsy were performed. The pathological diagnosis was mature teratoma, but AFP was elevated at 104.2 ng/mL. Considering NGGCT, we started chemoradiation immediately. Despite the declining AFP, it gradually increased, at which point we suspected iGTS. Resection was considered, but at some point tumor growth had stopped, so radiation therapy and a second course of ICE therapy preceded the resection. Thereafter, the tumor was completely removed, and a third course of ICE therapy was performed. DISCUSSION The onset mechanism of iGTS has not been elucidated, and its prediction is difficult. Early resection of the tumor is required, but discontinuation of radiation therapy and side effects of chemotherapy also need to be considered. In our case, resection was performed after normalization of AFP and recovery of myelosuppression. The patient followed an uneventful course, but the timing of resection was controversial. CONCLUSION We experienced a case of iGTS in NGGCT, a mixed tumor with mature teratoma. The optimal timing of the resection was discussed and literature was reviewed.

scholarly journals Human-Mimetic Estimation of Food Volume from a Single-View RGB Image Using an AI System

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1556
Author(s):  
Zhengeng Yang ◽  
Hongshan Yu ◽  
Shunxin Cao ◽  
Qi Xu ◽  
Ding Yuan ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Volume Estimation ◽  
Portion Size ◽  
Inner Product ◽  
Probability Vector ◽  
Internal Reference ◽  
Single View ◽  
Unhealthy Diet ◽  
Simplified Procedure ◽  
Traditional Image

It is well known that many chronic diseases are associated with unhealthy diet. Although improving diet is critical, adopting a healthy diet is difficult despite its benefits being well understood. Technology is needed to allow an assessment of dietary intake accurately and easily in real-world settings so that effective intervention to manage being overweight, obesity, and related chronic diseases can be developed. In recent years, new wearable imaging and computational technologies have emerged. These technologies are capable of performing objective and passive dietary assessments with a much simplified procedure than traditional questionnaires. However, a critical task is required to estimate the portion size (in this case, the food volume) from a digital image. Currently, this task is very challenging because the volumetric information in the two-dimensional images is incomplete, and the estimation involves a great deal of imagination, beyond the capacity of the traditional image processing algorithms. In this work, we present a novel Artificial Intelligent (AI) system to mimic the thinking of dietitians who use a set of common objects as gauges (e.g., a teaspoon, a golf ball, a cup, and so on) to estimate the portion size. Specifically, our human-mimetic system “mentally” gauges the volume of food using a set of internal reference volumes that have been learned previously. At the output, our system produces a vector of probabilities of the food with respect to the internal reference volumes. The estimation is then completed by an “intelligent guess”, implemented by an inner product between the probability vector and the reference volume vector. Our experiments using both virtual and real food datasets have shown accurate volume estimation results.

Sign in / Sign up

Export Citation Format

Share Document