Delving into masked autoencoders for multi-label thorax disease classification
Abstract Vision Transformer (ViT) has become one of the most popular neural architectures
due to its simplicity, scalability, and compelling performance in multiple vision tasks …
due to its simplicity, scalability, and compelling performance in multiple vision tasks …
Fairdomain: Achieving fairness in cross-domain medical image segmentation and classification
Addressing fairness in artificial intelligence (AI), particularly in medical AI, is crucial for
ensuring equitable healthcare outcomes. Recent efforts to enhance fairness have …
ensuring equitable healthcare outcomes. Recent efforts to enhance fairness have …
Two-stage reverse knowledge distillation incorporated and Self-Supervised Masking strategy for industrial anomaly detection
G Tong, Q Li, Y Song - Knowledge-Based Systems, 2023 - Elsevier
In recent years, unsupervised anomaly detection based on knowledge distillation has
gained special attention and some promising results have been reported in the literature …
gained special attention and some promising results have been reported in the literature …
Maefe: Masked autoencoders family of electrocardiogram for self-supervised pretraining and transfer learning
Electrocardiogram (ECG) is a universal diagnostic tool for heart disease, which can provide
data for deep learning. The scarcity of labeled data is a major challenge for medical artificial …
data for deep learning. The scarcity of labeled data is a major challenge for medical artificial …
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images
Unsupervised anomaly detection (UAD) methods are trained with normal (or healthy)
images only, but during testing, they are able to classify normal and abnormal (or disease) …
images only, but during testing, they are able to classify normal and abnormal (or disease) …
Application of artificial intelligence in pancreas endoscopic ultrasound imaging-A systematic review
The pancreas is a vital organ in digestive system which has significant health implications. It
is imperative to evaluate and identify malignant pancreatic lesions promptly in light of the …
is imperative to evaluate and identify malignant pancreatic lesions promptly in light of the …
Rethinking polyp segmentation from an out-of-distribution perspective
Unlike existing fully-supervised approaches, we rethink colorectal polyp segmentation from
an out-of-distribution perspective with a simple but effective self-supervised learning …
an out-of-distribution perspective with a simple but effective self-supervised learning …
EDMAE: An efficient decoupled masked autoencoder for standard view identification in pediatric echocardiography
This paper introduces the Efficient Decoupled Masked Autoencoder (EDMAE), a novel self-
supervised method for recognizing standard views in pediatric echocardiography. EDMAE …
supervised method for recognizing standard views in pediatric echocardiography. EDMAE …
Efficient textile anomaly detection via memory guided distillation network
J Yang, H Wang, Z Song, F Guo, H Yue - Journal of Intelligent …, 2024 - Springer
Textile anomaly detection with high accuracy and fast frame rates are desired in real
industrial scenarios. To this end, we propose an efficient memory guided distillation network …
industrial scenarios. To this end, we propose an efficient memory guided distillation network …
TURBO: The Swiss Knife of Auto-Encoders
We present a novel information-theoretic framework, termed as TURBO, designed to
systematically analyse and generalise auto-encoding methods. We start by examining the …
systematically analyse and generalise auto-encoding methods. We start by examining the …