Medical Image Analysis - Groups

Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in M...

The proposed method uses Weighted Boxes Fusion (WBF) algorithm to obtain the aggregated annotations with the implicit annotators' agreement as conﬁdence scores. The estimated...

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Cholec80

The proposed network is implemented in PyTorch using a single Tesla V100-DGXS-32GB GPU of an NVIDIA DGX station. For the ResNet-50 part, PyTorch default ImageNet pretrained...

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LesionPaste: One-Shot Anomaly Detection for Medical Images

LesionPaste is a one-shot anomaly detection framework for medical images that utilizes true anomalies from a single sample and synthesizes artificial anomalous samples.

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MOOD 2022 Challenge

The dataset used for the Medical Out-of-Distribution (MOOD) challenge

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BrainMRI

The dataset used for medical image anomaly detection, focusing on few-shot learning and anomaly synthesis.

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BUSI

The BUSI dataset is a collection of ultrasound images depicting normal, benign, and malignant breast cancer cases along with their corresponding segmentation maps.

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