3 papers
eess.IV2023
Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network
Taro Hatsutani, Akimichi Ichinose, Keigo Nakamura +1
Many renal cancers are incidentally found on non-contrast CT (NCCT) images. On contrast-enhanced CT (CECT) images, most kidney tumors, especially renal cancers, have different inte…
cs.CV2023
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…
eess.IV2023
Image Synthesis-based Late Stage Cancer Augmentation and Semi-Supervised Segmentation for MRI Rectal Cancer Staging
Saeko Sasuga, Akira Kudo, Yoshiro Kitamura +5
Rectal cancer is one of the most common diseases and a major cause of mortality. For deciding rectal cancer treatment plans, T-staging is important. However, evaluating the index f…