12 citations · 23 across the 5 of their papers we have counts for
3 papers · 1 filter
Visual Grounding of Whole Radiology Reports for 3D CT Images
Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura +5
Building a large-scale training dataset is an essential problem in the development of medical image recognition systems. Visual grounding techniques, which automatically associate…
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Junya Sato, Yuki Suzuki, Tomohiro Wataya +5
Large numbers of labeled medical images are essential for the accurate detection of anomalies, but manual annotation is labor-intensive and time-consuming. Self-supervised learning…
Feature Representation Analysis of Deep Convolutional Neural Network using Two-stage Feature Transfer -An Application for Diffuse Lung Disease Classification-
Aiga Suzuki, Hidenori Sakanashi, Shoji Kido +1
Transfer learning is a machine learning technique designed to improve generalization performance by using pre-trained parameters obtained from other learning tasks. For image recog…