Developing a Novel Image Marker to Predict the Clinical Outcome of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients
Objective: Neoadjuvant chemotherapy (NACT) is one kind of treatment for advanced stage
ovarian cancer patients. However, due to the nature of tumor heterogeneity, the clinical …
ovarian cancer patients. However, due to the nature of tumor heterogeneity, the clinical …
Developing new quantitative CT image markers to predict prognosis of acute ischemic stroke patients
BACKGROUND: Endovascular mechanical thrombectomy (EMT) is an effective method to
treat acute ischemic stroke (AIS) patients due to large vessel occlusion (LVO). However …
treat acute ischemic stroke (AIS) patients due to large vessel occlusion (LVO). However …
Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients
Objective Neoadjuvant chemotherapy (NACT) is one kind of treatment for advanced stage
ovarian cancer patients. However, due to the nature of tumor heterogeneity, the clinical …
ovarian cancer patients. However, due to the nature of tumor heterogeneity, the clinical …
[PDF][PDF] An efficient synthetic data generation algorithm to improve efficacy of deep learning models of medical images
Deep Convolutional Neural Networks (DCNNs) have emerged as powerful components of
computer-aided systems to detect and classify diseases in medical images. In order to …
computer-aided systems to detect and classify diseases in medical images. In order to …
A guiding approach of Ultrasound scan for accurately obtaining standard diagnostic planes of fetal brain malformation
Y Yu, Z Chen, Y Zhuang, H Yi, L Han… - Journal of X-Ray …, 2022 - content.iospress.com
BACKGROUND: Standard planes (SPs) are crucial for the diagnosis of fetal brain
malformation. However, it is very time-consuming and requires extensive experiences to …
malformation. However, it is very time-consuming and requires extensive experiences to …
Study on the role of immune‑related genes after intracranial subarachnoid hemorrhage
Q Li, Z Ren, D Fan, Y Zhang - Acta Neurobiologiae Experimentalis, 2022 - ane.pl
We aimed to screen the feature genes related to subarachnoid hemorrhage (SAH). The
datasets (GSE73378 and GSE36791) were downloaded from National Center for …
datasets (GSE73378 and GSE36791) were downloaded from National Center for …
Evaluation of deep learning frameworks coupled with an interactive user interface to predict clinical complications after aneurysmal subarachnoid hemorrhage
Accurately predicting the clinical outcome of patients with aneurysmal subarachnoid
hemorrhage (aSAH) presents notable challenges. This study sought to develop and assess …
hemorrhage (aSAH) presents notable challenges. This study sought to develop and assess …
Novel Techniques in Fourier Ptychographic Microscopy for Medical Imaging
K Zhang - 2024 - search.proquest.com
The emerging Fourier ptychographic microscopy (FPM) offers a highly efficient approach to
enhance the throughput of conventional microscopy. By illuminating the samples with a …
enhance the throughput of conventional microscopy. By illuminating the samples with a …
Deep learning-based rectum segmentation on low-field prostate MRI to assist image-guided biopsy
Efficient and accurate segmentation of the rectum in images acquired with a low-field (58-
74mT), prostate Magnetic Resonance Imaging (MRI) scanner may be advantageous for MRI …
74mT), prostate Magnetic Resonance Imaging (MRI) scanner may be advantageous for MRI …
[PDF][PDF] Developing and Applying CAD-generated Image Markers to Assist Disease Diagnosis and Prognosis Prediction
G Danala - 2022 - core.ac.uk
1.1 Background According to the trends in the leading causes of deaths in the united states
between 1970 to 2002, the age-standardized death rate (per every 100,000 population) from …
between 1970 to 2002, the age-standardized death rate (per every 100,000 population) from …