Segmentation of Kidney Tumors on Non-Contrast CT Images using Protuberance Detection Network

no code implementations • 8 Dec 2023 • Taro Hatsutani, Akimichi Ichinose, Keigo Nakamura, Yoshiro Kitamura

In this paper, we present a novel framework, which can explicitly capture protruded regions in kidneys to enable a better segmentation of kidney tumors.

Segmentation Tumor Segmentation

Visual Grounding of Whole Radiology Reports for 3D CT Images

no code implementations • 8 Dec 2023 • Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama

Our framework combines two components of 1) anatomical segmentation of images, and 2) report structuring.

Segmentation Visual Grounding

Pushing the Envelope of Thin Crack Detection

no code implementations • 9 Jan 2021 • Liang Xu, Taro Hatsutani, Xing Liu, Engkarat Techapanurak, Han Zou, Takayuki Okatani

We experimentally show that this makes it possible to detect cracks from an image of one-third the resolution of images used for annotation with about the same accuracy.