Results 11 to 20 of about 20,298 (224)

FCN-PD: An Advanced Deep Learning Framework for Parkinson’s Disease Diagnosis Using MRI Data

open access: yesDiagnostics
Background/Objectives: Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by motor dysfunction, cognitive decline, and a diminished quality of life.
Saad Al-Ahmadi, Farah Mohammad
exaly   +2 more sources

Automatic Segmentation of Prostate Cancer using cascaded Fully Convolutional Network [PDF]

open access: yesE3S Web of Conferences, 2021
In this paper we proposed a prostate segmentation and also tumour detection using deep neural networks. The cutting-edge deep learning techniques are useful compared to the challenges of machine learning based feature extraction techniques.
Kora Padmavathi   +6 more
doaj   +1 more source

Segmentation of bone structures with the use of deep learning techniques [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2021
The paper is focused on automatic segmentation task of bone structures out of CT data series of pelvic region. The authors trained and compared four different models of deep neural networks (FCN, PSPNet, U-net and Segnet) to perform the segmentation task
Zuzanna Krawczyk, Jacek Starzyński
doaj   +1 more source

Morfología comparativa en Lithraea (Anacardiaceae), aspectos vegetativos y reproductivos y distribución en Argentina

open access: yesLilloa, 2022
El género Lithrea Miers se encuentra representado en Argentina por Lithrea. molleoides y L. brasiliensis, la primera en la PB (Provincia Biogeográfica) Chaqueña, Distritos Oriental y Serrano, también en la PB Paranaense y Selvas marginales.
Evangelina Carmen Lozano   +2 more
doaj   +1 more source

New records of seven species of pholcid spiders (Araneae, Pholcidae) from the northern Argentina [PDF]

open access: yesCheck List, 2015
We report new records of pholcid species for northern Argentina. Guaranita yaculica Huber, 2000 and Mesabolivar uruguayensis Machado Laborda, Simó & Brescovit, 2013 are reported for the first time for Corrientes province, whereas Aymaria ...
Victor Torres   +4 more
doaj   +3 more sources

Time series of useful energy consumption patterns for energy system modeling

open access: yesScientific Data, 2021
Measurement(s) space heat consumption patterns • hot water consumption patterns • space cooling consumption patterns • process cooling consumption patterns • mechanical energy consumption patterns • information and communication (ICT) consumption ...
Jan Priesmann   +3 more
doaj   +1 more source

Proteins of the lectin pathway of the complement system activation: immunobiological functions, genetics and involvement in the pathogenesis of human diseases

open access: yesИнфекция и иммунитет, 2022
The complement system is the most ancient components in the innate immunity, mainly functioning to primarily eliminate bacterial agents intravascularly.
Marina V. Smolnikova   +1 more
doaj   +1 more source

Domain‐adapted driving scene understanding with uncertainty‐aware and diversified generative adversarial networks

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Autonomous vehicles are required to operate in an uncertain environment. Recent advances in computational intelligence techniques make it possible to understand driving scenes in various environments by using a semantic segmentation neural network, which assigns a class label to each pixel.
Yining Hua   +4 more
wiley   +1 more source

FCN-Transformer Feature Fusion for Polyp Segmentation [PDF]

open access: yes, 2022
AbstractColonoscopy is widely recognised as the gold standard procedure for the early detection of colorectal cancer (CRC). Segmentation is valuable for two significant clinical applications, namely lesion detection and classification, providing means to improve accuracy and robustness.
Edward Sanderson, Bogdan J. Matuszewski
openaire   +4 more sources

An automatic skin lesion segmentation system with hybrid FCN-ResAlexNet [PDF]

open access: yes, 2022
Skin cancer is a serious global health concern with high morbidity and mortality rates. Therefore, computer-aided automatic diagnostic systems are essential to diagnose skin lesions successfully.
Guraksin, Gur Emre, Barin, Sezin
core   +1 more source

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