Search Results - "Segawa, Ryo"

Improved SinGAN's Performance by Changing the Activation Function by Segawa, Ryo, Hayashi, Hitoshi

“…Generative adversarial nets (GANs) perform well on a variety of tasks, but rely on large datasets and expensive computer‐based learning. SinGAN was proposed as…”
Get full text

Proposal of New Activation Function in Deep Image Prior by Segawa, Ryo, Hayashi, Hitoshi, Fujii, Shohei

“…We propose a new activation function and verify its performance in a deep image prior network. The new activation function is RSwish, which is Swish with a…”
Get full text

Visualization of Tumor Necrosis Factor-α Distributions Within Pressure Ulcer Tissue Using the Wound Blotting Method: A Case Report and Discussion by Kitamura, Aya, Nakagami, Gojiro, Yoshida, Mikako, Noguchi, Hiroshi, Nishijima, Yoshimi, Minematsu, Takeo, Naito, Ayumi, Sugawara, Jun, Shibayama, Hiroki, Takahashi, Kazuo, Hakuta, Amiko, Umemoto, Junichi, Terada, Nao, Segawa, Ryo, Mori, Taketoshi, Sanada, Hiromi

“…Wound blotting can be used to visualize the protein distribution on a wound bed through protein collection by attaching a nitrocellulose membrane to the wound…”
Get full text