Results 51 to 60 of about 2,936,368 (282)

Distributed-memory large deformation diffeomorphic 3D image registration

open access: yes, 2016
We present a parallel distributed-memory algorithm for large deformation diffeomorphic registration of volumetric images that produces large isochoric deformations (locally volume preserving).
Biros, George   +2 more
core   +1 more source

Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning [PDF]

open access: yes, 2018
Glaucoma is a major eye disease, leading to vision loss in the absence of proper medical treatment. Current diagnosis of glaucoma is performed by ophthalmologists who are often analyzing several types of medical images generated by different types of ...
De Neve, Wesley   +5 more
core   +1 more source

Medical Images Analysis in Cancer Diagnostic

open access: yes, 2018
This paper shows results of computer analysis of images in the purpose of finding differences between medical images in order of their classifications in terms of separation malign tissue from a normal and benign tissue.
Berbakov, Lazar   +7 more
core   +2 more sources

A PRSZT Registry Analysis of Prognostic Factors Influencing Survival and Relapse Rates After Second Allogeneic Hematopoietic Stem Cell Transplantation in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT A second allogeneic (allo‐)hematopoietic stem cell transplantation (HSCT2) is a potential curative option for pediatric patients with acute lymphoblastic leukemia (ALL) following relapse after first allogeneic transplantation (HSCT1), but its efficacy is limited by high relapse rates and transplant‐related toxicity in highly pretreated ...
Ava Momm   +10 more
wiley   +1 more source

Shape-Based Models for Interactive Segmentation of Medical Images [PDF]

open access: yes, 1995
Accurate image segmentation is one of the key problems in computer vision. In domains such as radiation treatment planning, dosimetrists must manually trace the outlines of a few critical structures on large numbers of images. Considerable similarity can
Altman, R. B.   +2 more
core   +2 more sources

Medical image denoising using convolutional denoising autoencoders

open access: yes, 2016
Image denoising is an important pre-processing step in medical image analysis. Different algorithms have been proposed in past three decades with varying denoising performances.
Gondara, Lovedeep
core   +1 more source

Evaluation of the Utility of Baseline Echocardiogram in Patients With Standard Risk Precursor B‐Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
Abstract Background A routine baseline echocardiogram is often obtained prior to anthracycline administration in children with cancer. The utility of baseline echocardiogram is unclear in patients with standard risk B‐cell acute lymphoblastic leukemia (SR B‐ALL) as their anthracycline cumulative dose is low.
Ziyad Alrajhi   +4 more
wiley   +1 more source

Gemcitabine, Docetaxel, Melphalan, Carboplatin as Part of Sequential Cycles of High‐Dose Chemotherapy With Autologous Hematopoietic Stem‐Cell Rescue for Multiply Relapsed/Refractory Pediatric Germ Cell Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Although most malignant germ cell tumors (GCTs) are highly curable with cisplatin‐based therapy, options for patients with multiply relapsed/refractory disease remain limited. For this population, we report the first pediatric use of gemcitabine, docetaxel, melphalan, and carboplatin (GemDMC) as part of sequential cycles of high‐dose ...
Maria Frost   +10 more
wiley   +1 more source

Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images

open access: yesApplied Sciences, 2020
The spread of the SARS-CoV-2 virus has made the COVID-19 disease a worldwide epidemic. The most common tests to identify COVID-19 are invasive, time consuming and limited in resources.
Javier Civit-Masot   +3 more
doaj   +1 more source

HarDNet and Dual-Code Attention Mechanism Based Model for Medical Images Segmentation

open access: yesIEEE Access, 2023
During the formation of medical images, they are easily disturbed by factors such as acquisition devices and tissue backgrounds, causing problems such as blurred image backgrounds and difficulty in differentiation.
Tongping Shen   +2 more
doaj   +1 more source

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