Search Results for author:
Found 4 papers, 3 papers with code
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans
Although this approach utilizes information from all the phases and outperform single-phase segmentation networks, we demonstrate that their performance is not optimal and can be further improved by incorporating the learning from models trained on each single-phase individually.
ViMQ: A Vietnamese Medical Question Dataset for Healthcare Dialogue System Development
Existing medical text datasets usually take the form of ques- tion and answer pairs that support the task of natural language gener- ation, but lacking the composite annotations of the medical terms.
Revisiting Reverse Distillation for Anomaly Detection
In this paper, we revisit this idea to improve its performance, establishing a new state-of-the-art benchmark on the challenging MVTec dataset for both anomaly detection and localization.
Ranked #2 on
Anomaly Detection
on MVTEC AD textures
Benchmarking saliency methods for chest X-ray interpretation
Saliency methods, which produce heat maps that highlight the areas of the medical image that influence model prediction, are often presented to clinicians as an aid in diagnostic decision-making.
