Results 171 to 180 of about 1,879,885 (315)

Cancer Drug Sensitivity Prediction Based on Deep Transfer Learning. [PDF]

Int J Mol Sci
Meng W, Xu X, Xiao Z, Gao L, Yu L.
europepmc   +1 more source

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

Journal 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, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source

A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar

Scientometrics, 2010
Massimo Franceschet
semanticscholar   +1 more source

Using a deterministic matching computer routine to identify hospital episodes in a Brazilian de-identified administrative database for the analysis of obstetrics hospitalisations. [PDF]

Int J Popul Data Sci
Coeli CM, Domingues RMSM, Meijinhos L, Bastos DMC, Pinheiro RS, Saraceni V, Dias MAB, Paiva NS, de Camargo KR.   +8 more
europepmc   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform. [PDF]

Sci Rep
Bagherzadeh S, Norouzi MR, Ghasri A, Tolou Kouroshi P, Bahri Hampa S, Farokhshad F, Shalbaf A.   +6 more
europepmc   +1 more source

AAPM Task Group No. 249.B—Essentials and guidelines for clinical medical physics residency training program

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The establishment of guidelines and curriculum standards for medical physics residency training is a critical component of setting expectations and competencies for the profession. Since the last publication of these standards, residency training has become integrated into the eligibility criteria for most medical physics certification bodies.
Jonathon A. Nye, Joseph P. Dugas, William D. Erwin, David P. Gierga, Darryl G. Kaurin, Stephanie M. Leon, Ho‐Ling Anthony Liu, Zheng Feng Lu, Alphonso W. Magri, Lynn N. Rill, Leah K. Schubert, Beth A. Schueler, Irina Vergalasova, John Vetter, Brian D. Wichman, Amy Shu‐Jung Yu, Dandan Zheng   +16 more
wiley   +1 more source

AnnSQL: a Python SQL-based package for fast large-scale single-cell genomics analysis using minimal computational resources. [PDF]

Bioinform Adv
Pavan K, Saunders A.
europepmc   +1 more source

JACMP 2005–2009

Journal of Applied Clinical Medical Physics, EarlyView.
Timothy D. Solberg
wiley   +1 more source

Automated rapidplan model validation using Eclipse scripting API

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract RapidPlan offers efficiency gains and quality improvements in treatment planning. Prior to its use in the clinic, it requires an extensive validation procedure in which established clinical plans and those generated by the model are compared. The manual iterative nature of this process is resource intensive, as numerous iterations are required
Bradley Beeksma, Andrew Dipuglia, Joerg Lehmann   +2 more
wiley   +1 more source