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SagiPolaczek/Deep-Learning-Workshop: Final code

, 2022
Deep Learning Workshop at ...
Shaked Caspi, Sagi Polaczek
core +1 more source

American Journal of Orthodontics and Dentofacial Orthopedics
Flemish Government under the "Onder-zoeksprogramma ...
Axel-Jan Rousseau +3 more
openaire +3 more sources

Inequality in breast cancer: Global statistics from 2022 to 2050

Breast
This study evaluates the global inequalities of breast cancer incidence and mortality from 2022 to 2050 with the latest GLOBOCAN estimates. It focuses on disparities across continents, age groups and Human Development Index (HDI) levels.
Ling Liao
doaj +1 more source

TG-DGM: Clustering Brain Activity using a Temporal Graph Deep Generative Mode

, 2021
Spatiotemporal graphs are a natural representation of dynamic brain activity derived from functional magnetic imaging (fMRI) data. Previous works, however, tend to ignore time dynamics of the brain and focus on static graphs.
Simeon Emilov Spasov +5 more
core

Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

BMC Medical Informatics and Decision Making, 2019
Following publication of the original ...
Muhammad Naseer Bajwa +6 more
doaj +1 more source

Generalizable and efficient cross‐domain person re‐identification model using deep metric learning

IET Computer Vision, 2023
Most of the successful person re‐ID models conduct supervised training and need a large number of training data. These models fail to generalise well on unseen unlabelled testing sets.
Saba Sadat Faghih Imani +2 more
doaj +1 more source

Deep Antimicrobial Susceptibility Phenotyping (DASP) Training and Evaluation Dataset, and Trained Models.

, 2023
Dataset of microscopy images of untreated and treated E.coli lab strains and clinical isolates, and machine learning models trained on them. Corresponding publications: https://doi.org/10.1101/2022.12.08.22283219 Corresponding analysis code: https ...
Zagajewski, Aleksander +5 more
core +1 more source

Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning

Biomimetics
In recent years, unmanned aerial vehicle (UAV) technology has advanced significantly, enabling its widespread use in critical applications such as surveillance, search and rescue, and environmental monitoring.
Mingen Wang +6 more
doaj +1 more source

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

BMC Medical Informatics and Decision Making, 2019
Background With the advancement of powerful image processing and machine learning techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of medicine including ophthalmology.
Muhammad Naseer Bajwa +6 more
doaj +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 +6 more
wiley +1 more source

computer vision
machine learning
artificial intelligence