Results 101 to 110 of about 1,638,905 (280)

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du   +7 more
wiley   +1 more source

Cross-database non-frontal facial expression recognition based on transductive deep transfer learning [PDF]

open access: yesarXiv, 2018
Cross-database non-frontal expression recognition is a very meaningful but rather difficult subject in the fields of computer vision and affect computing. In this paper, we proposed a novel transductive deep transfer learning architecture based on widely used VGGface16-Net for this problem.
arxiv  

A Python package for fast GPU‐based proton pencil beam dose calculation

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya   +4 more
wiley   +1 more source

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith   +8 more
wiley   +1 more source

Enriching Information Technology Course Materials by Using Youtube [PDF]

open access: yesThe 5th International Conference On Artificial Intelligence, Computer Science and Information Technology (AICSIT2017), Malaysia, 2017, pp. 75-82, 2017
IT offers some benefits and collaborations in various sectors. This research focuses on exploring higher education subjects via social technology, YouTube. YouTube is the world largest video based contents application in the world. Current learning materials are not only in text and images, but included video contents.
arxiv  

Unifying an Introduction to Artificial Intelligence Course through Machine Learning Laboratory Experiences

open access: yes, 2005
This paper presents work on a collaborative project funded by the National Science Foundation that incorporates machine learning as a unifying theme to teach fundamental concepts typically covered in the introductory Artificial Intelligence courses.
Coleman, Susan   +4 more
core  

Machine stability and dosimetry for ultra‐high dose rate FLASH radiotherapy human clinical protocol

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The FLASH effect, induced by ultra‐high dose rate (UHDR) irradiations, offers the potential to spare normal tissue while effectively treating tumors. It is important to achieve precise and accurate dose delivery and to establish reliable detector systems, particularly for clinical trials needed to help the clinical transfer of FLASH‐
Patrik Gonçalves Jorge   +9 more
wiley   +1 more source

Causality and Statistical Learning [PDF]

open access: yesarXiv, 2010
We review some approaches and philosophies of causal inference coming from sociology, economics, computer science, cognitive science, and ...
arxiv  

Evaluating feature extraction reproducibility across image biomarker standardization initiative‐compliant radiomics platforms using a digital phantom

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The aim of this study was to thoroughly analyze the reproducibility of radiomics feature extraction across three Image Biomarker Standardization Initiative (IBSI)‐compliant platforms using a digital phantom for benchmarking. It uncovers high consistency among common features while also pointing out the necessity for standardization ...
Han‐Back Shin   +5 more
wiley   +1 more source

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