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Toplam kayıt 22, listelenen: 1-10
Transfer learning through weighted loss function and group normalization for vessel segmentation from retinal images
(Institute of Electrical and Electronics Engineers Inc., 2021)
The vascular structure of blood vessels is important in diagnosing retinal conditions such as glaucoma and diabetic retinopathy. Accurate segmentation of these vessels can help in detecting retinal objects such as the optic ...
Detecting and understanding sentiment trends and emotion patterns of twitter users-a study on the demise of a bollywood celebrity
(MDPI, 2022)
Detecting societal sentiment trends and emotion patterns is of great interest. Due to the time-varying nature of these patterns and trends this detection can be a challenging task. In this paper, the emotion patterns and ...
Moderation of services’ EKC through transportation competitiveness: PQR model in global prospective
(MDPI, 2023)
The continuously increasing GHG emissions have created environmental pollution and several challenges to ecosystems and biodiversity. The challenges of climate change are multipronged, resulting in melting glaciers, flash ...
Data on cut-edge for spatial clustering based on proximity graphs
(Elsevier, 2020)
Cluster analysis plays a significant role regarding automating such a knowledge discovery process in spatial data mining. A good clustering algorithm supports two essential conditions, namely high intra-cluster similarity ...
Utilizing a responsive web portal for studying disc tracing agreement in retinal images
(Public Library of Science, 2021)
Glaucoma is a leading cause of blindness worldwide whose detection is based on multiple factors, including measuring the cup to disc ratio, retinal nerve fiber layer and visual field defects. Advances in image processing ...
Fuzzy classification methods based diagnosis of Parkinson’s disease from speech test cases
(Bentham Science Publishers, 2019)
Background: Together with the Alzheimer’s disease, Parkinson’s disease is considered as one of the two serious known neurodegenerative diseases. Physicians find it hard to predict whether a given patient has already developed ...
CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
(NLM (Medline), 2020)
OBJECTIVE: Develop CACTUS (cancer image annotating, calibrating, testing, understanding and sharing) as a novel web application for image archiving, annotation, grading, distribution, networking and evaluation. This helps ...
BreCaHAD: A dataset for breast cancer histopathological annotation and diagnosis
(BioMed Central Ltd., 2019)
Objectives: Histopathological tissue analysis by a pathologist determines the diagnosis and prognosis of most tumors, such as breast cancer. To estimate the aggressiveness of cancer, a pathologist evaluates the microscopic ...
A review of computational drug repositioning: Strategies, approaches, opportunities, challenges, and directions
(BMC, 2020)
Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an important role in optimizing the ...
Explainable artificial intelligence through graph theory by generalized social network analysis-based classifier
(Nature Portfolio, 2022)
We propose a new type of supervised visual machine learning classifier, GSNAc, based on graph theory and social network analysis techniques. In a previous study, we employed social network analysis techniques and introduced ...