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Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer.
Front Public Health
January 2025
Department of Ophthalmology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Introduction: Diabetic retinopathy grading plays a vital role in the diagnosis and treatment of patients. In practice, this task mainly relies on manual inspection using human visual system. However, the human visual system-based screening process is labor-intensive, time-consuming, and error-prone.
View Article and Find Full Text PDFImproving students' performance via case-based e-learning.
Front Med (Lausanne)
January 2025
Department of Psychoanalysis and Psychotherapy, Medical University of Vienna, Vienna, Austria.
Background: The integration of interdisciplinary clinical reasoning and decision-making into the medical curriculum is imperative. Novel, high-quality e-learning environments, encompassing virtual clinical and hands-on training, are essential. Consequently, we evaluated the efficacy of a case-based e-learning approach.
View Article and Find Full Text PDFA fusion model of manually extracted visual features and deep learning features for rebleeding risk stratification in peptic ulcers.
Nan Fang Yi Ke Da Xue Xue Bao
January 2025
Department of Gastroenterology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Objectives: We propose a multi-feature fusion model based on manually extracted features and deep learning features from endoscopic images for grading rebleeding risk of peptic ulcers.
Methods: Based on the endoscopic appearance of peptic ulcers, color features were extracted to distinguish active bleeding (Forrest I) from non-bleeding ulcers (Forrest II and III). The edge and texture features were used to describe the morphology and appearance of the ulcers in different grades.
ROAR-CAT: Rapid Online Assessment of Reading ability with Computerized Adaptive Testing.
Behav Res Methods
January 2025
Stanford University Graduate School of Education, 520 Galvez Mall, Stanford, CA, 94305, USA.
The Rapid Online Assessment of Reading (ROAR) is a web-based lexical decision task that measures single-word reading abilities in children and adults without a proctor. Here we study whether item response theory (IRT) and computerized adaptive testing (CAT) can be used to create a more efficient online measure of word recognition. To construct an item bank, we first analyzed data taken from four groups of students (N = 1960) who differed in age, socioeconomic status, and language-based learning disabilities.
View Article and Find Full Text PDFEfficacy and safety of indocyanine green-fluorescence imaging guided liver resection: a single-arm prospective cohort study.
Langenbecks Arch Surg
January 2025
Department of Surgery, Division of Hepato-Biliary-Pancreatic Surgery, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.
Purpose: This study aimed to evaluate the efficacy of indocyanine green (ICG)-fluorescence imaging for the identification of hepatic boundaries during liver resection and its advantages in surgical outcomes over conventional methods.
Methods: This prospective, exploratory, single-arm clinical trial included 47 patients with liver tumors who underwent liver resection using ICG-fluorescence imaging (ICG-LR) between 2019 and 2020. The primary outcome measure was the successful identification of hepatic boundaries during liver resection, from the perspective of both the hepatic surface and intrahepatic boundary, using ICG-fluorescence imaging.
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