Results 41 to 50 of about 684,577 (345)

Welding defect detection based on local image enhancement

IET Image Processing, 2019
Welding defect detection in a radiographic image is an important topic in the field of industrial non-destructive testing. To improve the accuracy of welding defect segmentation, a local image enhancement approach is proposed.
Lin Zhang, Yingjie Zhang, Bochao Dai, Bo Chen, Yangfan Li   +4 more
semanticscholar   +1 more source

Phase 1 Trial of Vaccination with Autologous Tumor Cells and Antisense Directed Against the Insulin Growth Factor Type 1 Receptor (IGF-1R AS ODN) in Patients with Recurrent Glioblastoma [PDF]

, 2018
Background: Extending a previous Phase I study, we report the results of a second Phase I autologous tumor cell vaccination trial for patients with recurrent glioblastomas (IND 14379-101, NCT01550523). Methods: Following surgery, subjects were treated by
Andrews MD, David W., Harshyne, PhD, Larry, Hooper, PhD, D. Craig, Judy, MD, Kevin   +3 more
core   +2 more sources

Comparison of Susceptibility-Weighted Imaging with Contrast Enhancement in Detection of Multiple Sclerosis Active Plaques using 1.5 Tesla Magnetic Resonance Imaging System

مجله دانشکده پزشکی اصفهان, 2019
Background: Magnetic resonance imaging with contrast enhancement (CE) is an essential method in the detection of active multiple sclerosis (MS) plaques.
Rezvan Afkandeh, Iraj Abedi, Ahmad Shanei, Masoud Rabbani, Siamak Shamsian   +4 more
doaj   +1 more source

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic Images

Computation, 2022
The present study evaluated a newly developed computational tool (CT) to assess the alveolar bone space and the alveolar crest angle and compares it to dentist assessment (GT).
M. Maithri, Dhanush G. Ballal, Santhosh Kumar, U. Raghavendra, Anjan Gudigar, Wai Yee Chan, Shravya Macherla, Ravindranath Vineetha, Pratibha Gopalkrishna, Edward J. Ciaccio, U. Rajendra Acharya   +10 more
doaj   +1 more source

Deep Learning for the Radiographic Detection of periodontal Bone Loss [PDF]

, 2019
We applied deep convolutional neural networks (CNNs) to detect periodontal bone loss (PBL) on panoramic dental radiographs. We synthesized a set of 2001 image segments from panoramic radiographs. Our reference test was the measured % of PBL.
Dörfer, Christof, Ekert, Thomas, Golla, Tatjana, Kharbot, Basel, Krois, Joachim, Meinhold, Leonie, Schwendicke, Falk, Wittemeier, Agnes   +7 more
core   +1 more source

Evaluation and modification of tumor cell isolation techniques from malignant effusions for rapid drug sensitivity testing

Molecular Oncology, EarlyView.
Non‐small cell lung cancer targeted treatment is limited to a few known genetic alterations, with few alternatives in advanced treatment lines. To direct treatment decisions by drug sensitivity testing (DST), this study compared several methods for tumor cell isolation from malignant effusions, pointing to repeated CD45+ cell depletion for effective ...
Navit Mooshayef, Hana Barhom, Sumit Chatterji, Netta Hecht, Oran Warhaftig, Iris Kamer, Oranit Zadok, Jair Bar, Limor Broday, Amir Onn, Michael Peled   +10 more
wiley   +1 more source

Digital evaluation of the influence of interruption of the fixation process on radiographic contrast and base-plus-fog density in three commercial brands of radiographic films

Revista de Odontologia da UNESP
INTRODUCTION : With the interest in anticipating access to the result of intraoral radiography, the radiographic processing is frequently neglected, compromising image quality.
Paula Verona Ragusa da Silva, Renan Roberto da Costa, Mariliani Chicarelli da Silva, Lilian Cristina Vessoni Iwaki, Wilton Mitsunari Takeshita   +4 more
doaj   +1 more source

Automated System for Early Breast Cancer Detection in Mammograms [PDF]

, 1993
The increasing demand on mammographic screening for early breast cancer detection, and the subtlety of early breast cancer signs on mammograms, suggest an automated image processing system that can serve as a diagnostic aid in radiology clinics.
Bankman, Isaac N., Brody, William R., Christens-Barry, William A., Gatewood, Olga B., Kim, Dong W., Weinberg, Irving N.   +5 more
core   +1 more source

3D MRI Tract‐Specific Spinal Cord Lesion Pattern Improves Prediction of Distinct Neurological Recovery

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To distinguish lateralized motor‐ and sensory‐tract damage after acute spinal cord injury (SCI) and explore its predictive power for motor and sensory recovery. Methods Thirty‐five SCI patients (two female) from a multi‐center data set (placebo‐arm of the Nogo‐A‐Inhibition in SCI trial) underwent routine T2‐weighted sagittal MRI ...
Lynn Farner, Tim M. Emmenegger, Simon Schading‐Sassenhausen, Julia Berroth, Maryam Seif, Armin Curt, Patrick Freund, The Nogo Inhibition in Spinal Cord Injury Study Group   +7 more
wiley   +1 more source

Surgical treatment of a paraspinal abscess with osteomyelitis and spinal cord compression in a rabbit [PDF]

, 2017
CASE DESCRIPTION A 16-month-old neutered male Continental Giant rabbit (Lepus curpaeums) was referred for evaluation of a 7-day history of acute-onset, progressive, symmetric paraparesis.
Crawford, A H, De Decker, S, Drozdzynska, M J, Hedley, J, Lam, R W   +4 more
core   +1 more source