Results 41 to 50 of about 18,492,174 (314)

Medical image segmentation methods overview

Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2018
This article provides an overview of the modern medical image segmentation methods. The most popular methods such as multi-atlas based methods and deep learning approach are considered in more details.
Bohdan V. Chapaliuk, Yuriy P. Zaychenko
doaj   +1 more source

Students' Deep and Surface Approach: Links to Interaction in Learning Environments

, 2015
This paper presents the initial results of a study where we embrace and test Entwistle's theory in order to explain the students’ interaction when using interactive learning environments (ILEs) in real conditions.
Margeti, M., Mavrikis, M.
core   +1 more source

Adamouization/Breast-Cancer-Detection-Mammogram-Deep-Learning-Publication: DOI Publication

, 2022
This is the public release of the code written for the "A divide and conquer approach to maximise deep learning mammography classification accuracies ...
Adam Jaamour
core   +1 more source

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz, Alejandra Curbelo‐Paz, Sonia Morales, Elizabeth Contreras, Amy Houtrow, Scott H. Maurer, Judy C. Chang   +6 more
wiley   +1 more source

A Visual Analytic in Deep Learning Approach to Eye Movement for Human-Machine Interaction Based on Inertia Measurement

IEEE Access, 2020
This paper proposes a hand free human-machine interaction (HMI) system to establish a novel way for communication between humans and computers. A regular interaction system based on the computer mouse puts the user's hand for too long in a pronation ...
Shahriar Rahman Fahim, Dristi Datta, MD. Rafiqul Islam Sheikh, Sanjay Dey, Yeahia Sarker, Subrata K. Sarker, Faisal R. Badal, Sajal K. Das   +7 more
doaj   +1 more source

“We Cannot Talk as a Family”: Complexities of Survivorship Communication Among Hispanic/Latino Young Adult Survivors of Childhood Cancer, Parents, and Clinicians

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu, Nicole Fernández‐Viña, Briana C. Martin‐Villa, Daniela Ramirez, Rebecca M. Lewinsohn, Mary Smith, Heidi Boynton, Lidia Schapira, Stephanie M. Smith   +8 more
wiley   +1 more source

A deep learning approach to machine transliteration [PDF]

Proceedings of the Fourth Workshop on Statistical Machine Translation - StatMT '09, 2009
In this paper we present a novel transliteration technique which is based on deep belief networks. Common approaches use finite state machines or other methods similar to conventional machine translation. Instead of using conventional NLP techniques, the approach presented here builds on deep belief networks, a technique which was shown to work well ...
Thomas Deselaers, Sasa Hasan, Oliver Bender, Hermann Ney   +3 more
openaire   +2 more sources

Can Student Learning Engagement Strengthen The Link Between Deep Learning Approach And Perceived Learning?

Journal of Islamic Education Management
This study sought to explore how engagement-oriented learning processes support students’ more profound understanding and sustained knowledge retention, thereby offering contributions to both educational theory and practice.
David Sukardi Kodrat, Benny Irawan, Elsima Nainggolan   +2 more
doaj   +1 more source

Evidence‐Based Clinical Practice Guidelines for the Management of Pediatric Febrile Neutropenia: Resource‐Sensitive Recommendations for the Asian Continent

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba, Shweta Bansal, Tea Reljic, Allyne Montecillo‐Aguelo, Hamidah Alias, Farrah Amaranto, Maria Stella Aquino‐Calingasan, Bambang Ardianto, Eggi Arguni, Sally Blair, Thi Tam Dang, Maria Beatriz Gepte, Samanmalee Gunasekara, Andini Handayani, Miriam Kimpo, Catherine G. Lam, Nawachai Lertvivatpong, Sergio Licona, Ana Loseo, Ratha Mlis, Vivian Moreno Berrio, Nguyen Hoai Anh, Anna Lisa Ong‐Lim, Ha Thu Pham, Krishna Sagar Sharma, Bun Sereyleak, Sally Jane G. Velasco‐Aro, Su Yadana, Ambuj Kumar, Sheena Mukkada   +29 more
wiley   +1 more source

A deep learning approach to program similarity

Proceedings of the 1st International Workshop on Machine Learning and Software Engineering in Symbiosis, 2018
In this work we tackle the problem of binary code similarity by using deep learning applied to binary code visualization techniques. Our idea is to represent binaries as images and then to investigate whether it is possible to recognize similar binaries by applying deep learning algorithms for image classification.
Marastoni Niccolò, Mila Dalla Preda, Roberto Giacobazzi   +2 more
openaire   +1 more source