IEEE

Deep Learning and Multimodal Integration in Glaucoma Detection: A State-of-the-Art Review

Abstract: This extensive review investigates recent advances in deep learning techniques for glaucoma detection focusing on multimodal imaging data fusion. Common approaches limited to one modality, ...
GitHub

AML: Adversarial Meta-Learning for Few-Shot Object Detection

This package includes our codes for implementing "Adversarial Meta-Learning for Few-Shot Object Detection". (First Release Date: 2025-04-13) Please refer to mmfewshot ...
IEEE

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
Frontiers

Enhanced surgical outcomes in refractory glaucoma: a retrospective study of using adjustable sutures with Ex-PRESS filtration device

1 Department of Ophthalmology, Jinan Second People’s Hospital, Jinan, China 2 Department of Ophthalmology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, China Purpose: Evaluate the ...
Shanghai

Understanding Your Childs Learning Code with United Family

Unlock what really makes your child tick — United Family’s “Learning Code” Assessment offers a warm, science-backed way to understand their unique learning strengths (and struggles) across attention, ...