Results 51 to 60 of about 277,529 (354)

Microscopic Muscle Image Enhancement

open access: yesCoRR, 2016
We propose a robust image enhancement algorithm dedicated for muscle fiber specimen images captured by optical microscopes. Blur or out of focus problems are prevalent in muscle images during the image acquisition stage. Traditional image deconvolution methods do not work since they assume the blur kernels are known and also produce ring artifacts.
Xiangfei Kong, Lin Yang
openaire   +2 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

Microscopic image of trophozoite along with the pus cells.

open access: yes, 2019
Microscopic image of trophozoite along with the pus cells.
Sunit Kumar Shukla (6551579)   +3 more
core   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási   +14 more
wiley   +1 more source

Trichomonas Vaginalis Segmentation in Microscope Images

open access: yes, 2022
Trichomoniasis is a common infectious disease with high incidence caused by the parasite Trichomonas vaginalis, increasing the risk of getting HIV in humans if left untreated. Automated detection of Trichomonas vaginalis from microscopic images can provide vital information for the diagnosis of trichomoniasis.
Lin Li   +4 more
openaire   +2 more sources

Deep learning methods for noisy sperm image classification from convolutional neural network to visual transformer: a comprehensive comparative study

open access: yesIntelligent Medicine
Background With the gradual increase of infertility in the world, among which male sperm problems are the main factor for infertility, more and more couples are using computer-assisted sperm analysis (CASA) to assist in the analysis and treatment of ...
Ao Chen   +11 more
doaj   +1 more source

A review of automated digital clinical system of breast cancer detection using fine needle aspiration cytology images

open access: yesAnnals of Oncology Research and Therapy, 2021
Screening of microscopic slides is a manual process that involves its subjectivity. A semi-automated computer-based system can contribute to the detection of screening errors by increasing the reliability measure. Traditional machine learning approach or
Manjula Kalita   +2 more
doaj   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

Discriminative Segmentation of Microscopic Cellular Images [PDF]

open access: yes, 2011
Microscopic cellular images segmentation has become an important routine procedure in modern biological research, due to the rapid advancement of fluorescence probes and robotic microscopes in recent years. In this paper we advocate a discriminative learning approach for cellular image segmentation.
Li Cheng 0001   +3 more
openaire   +2 more sources

Microscopic image of the HUVECs conjugated with magnetic beads.

open access: yes, 2017
Microscopic image of the HUVECs conjugated with magnetic beads.
Ge Zhang (112487)   +3 more
core   +1 more source

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