Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Cap, Quan Huu"'
Autor:
Cap, Quan Huu
Whole-slide images (WSI) glomerulus segmentation is essential for accurately diagnosing kidney diseases. In this work, we propose a practical pipeline for glomerulus segmentation that effectively enhances both patch-level and WSI-level segmentation t
Externí odkaz:
http://arxiv.org/abs/2411.04782
Autor:
Cap, Quan Huu, Fukuda, Atsushi
Generating medical images from human-drawn free-hand sketches holds promise for various important medical imaging applications. Due to the extreme difficulty in collecting free-hand sketch data in the medical domain, most deep learning-based methods
Externí odkaz:
http://arxiv.org/abs/2402.00353
Autor:
Cap, Quan Huu, Fukuda, Atsushi, Kagiwada, Satoshi, Uga, Hiroyuki, Iwasaki, Nobusuke, Iyatomi, Hitoshi
With rich annotation information, object detection-based automated plant disease diagnosis systems (e.g., YOLO-based systems) often provide advantages over classification-based systems (e.g., EfficientNet-based), such as the ability to detect disease
Externí odkaz:
http://arxiv.org/abs/2309.01903
Medical images are extremely valuable for supporting medical diagnoses. However, in practice, low-quality (LQ) medical images, such as images that are hazy/blurry, have uneven illumination, or are out of focus, among others, are often obtained during
Externí odkaz:
http://arxiv.org/abs/2304.01864
Publikováno v:
In Biomedical Signal Processing and Control February 2025 100 Part B
Autor:
Okamoto, Hideaki, Cap, Quan Huu, Nomura, Takakiyo, Nabeshima, Kazuhito, Hashimoto, Jun, Iyatomi, Hitoshi
Endoscopy is widely used to diagnose gastric cancer and has a high diagnostic performance, but it must be performed by a physician, which limits the number of people who can be diagnosed. In contrast, gastric X-rays can be performed by technicians an
Externí odkaz:
http://arxiv.org/abs/2108.08158
Although highly accurate automated diagnostic techniques for melanoma have been reported, the realization of a system capable of providing diagnostic evidence based on medical indices remains an open issue because of difficulties in obtaining reliabl
Externí odkaz:
http://arxiv.org/abs/2103.02198
Medical images have been indispensable and useful tools for supporting medical experts in making diagnostic decisions. However, taken medical images especially throat and endoscopy images are normally hazy, lack of focus, or uneven illumination. Thus
Externí odkaz:
http://arxiv.org/abs/2011.14132
The collection of high-resolution training data is crucial in building robust plant disease diagnosis systems, since such data have a significant impact on diagnostic performance. However, they are very difficult to obtain and are not always availabl
Externí odkaz:
http://arxiv.org/abs/2010.06499
Many applications for the automated diagnosis of plant disease have been developed based on the success of deep learning techniques. However, these applications often suffer from overfitting, and the diagnostic performance is drastically decreased wh
Externí odkaz:
http://arxiv.org/abs/2002.10100