Author(s): Islam M; Zunair H; Mohammed N;

Crafting effective deep learning models for medical image analysis is a complex task, particularly in cases where the medical image dataset lacks significant inter-class variation. This challenge is further aggravated when employing such datasets to generat ...

Article GUID: 38492455

Author(s): Vaz S; Mendes M; Khattar G; Macedo M; Ronquillo C; Zarzo-Arias A; Hortal J; Silveira L;

Background: We compiled a database of firefly species records from the Atlantic Forest hotspot in Brazil and made it available at GBIF. Data were gathered from literature and from several key entomological collections, including: Coleção entomológica Prof. ...

Article GUID: 38327309

Author(s): Vu HL; Ng KTW; Richter A; An C;

The use of machine learning techniques in waste management studies is increasingly popular. Recent literature suggests k-fold cross validation may reduce input dataset partition uncertainties and minimize overfitting issues. The objectives are to quantify t ...

Article GUID: 35287077

Author(s): Masoumi N; Belasso CJ; Ahmad MO; Benali H; Xiao Y; Rivaz H;

Purpose: Accurate multimodal registration of intraoperative ultrasound (US) and preoperative computed tomography (CT) is a challenging problem. Construction of public datasets of US and CT images can accelerate the development of such image registration tec ...

Article GUID: 33683544

Author(s): Amini S, Kersten-Oertel M

Healthc Technol Lett. 2019 Dec;6(6):261-265 Authors: Amini S, Kersten-Oertel M

Article GUID: 32038868