Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ichinose, Akimichi"'
Publikováno v:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023. MICCAI 2023. Lecture Notes in Computer Science, vol 14226. Springer, Cham
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 intensity values compared to normal tissues. However, on NCCT images, some
Externí odkaz:
http://arxiv.org/abs/2312.04796
Autor:
Ichinose, Akimichi, Hatsutani, Taro, Nakamura, Keigo, Kitamura, Yoshiro, Iizuka, Satoshi, Simo-Serra, Edgar, Kido, Shoji, Tomiyama, Noriyuki
Publikováno v:
Medical Image Computing and Computer Assisted Intervention Lecture Notes in Computer Science 14224 (2023) 611-621
Building a large-scale training dataset is an essential problem in the development of medical image recognition systems. Visual grounding techniques, which automatically associate objects in images with corresponding descriptions, can facilitate labe
Externí odkaz:
http://arxiv.org/abs/2312.04794
Autor:
Kudo, Yujin, Nakamura, Taiyo, Matsubayashi, Jun, Ichinose, Akimichi, Goto, Yushi, Amemiya, Ryosuke, Park, Jinho, Shimada, Yoshihisa, Kakihana, Masatoshi, Nagao, Toshitaka, Ohira, Tatsuo, Masumoto, Jun, Ikeda, Norihiko
Publikováno v:
In Clinical Lung Cancer July 2024 25(5):431-439
Autor:
Momoki, Yohei1 (AUTHOR) yohei.momoki@fujifilm.com, Ichinose, Akimichi1 (AUTHOR), Nakamura, Keigo1 (AUTHOR), Iwano, Shingo2 (AUTHOR), Kamiya, Shinichiro2 (AUTHOR), Yamada, Keiichiro2 (AUTHOR), Naganawa, Shinji2 (AUTHOR)
Publikováno v:
PLoS ONE. 3/21/2024, Vol. 19 Issue 3, p1-19. 19p.
Autor:
Han, Changhee, Kitamura, Yoshiro, Kudo, Akira, Ichinose, Akimichi, Rundo, Leonardo, Furukawa, Yujiro, Umemoto, Kazuki, Li, Yuanzhong, Nakayama, Hideki
Accurate Computer-Assisted Diagnosis, relying on large-scale annotated pathological images, can alleviate the risk of overlooking the diagnosis. Unfortunately, in medical imaging, most available datasets are small/fragmented. To tackle this, as a Dat
Externí odkaz:
http://arxiv.org/abs/1906.04962
Akademický článek
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Akademický článek
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Autor:
Katase, Shichiro, Ichinose, Akimichi, Hayashi, Mahiro, Watanabe, Masanaka, Chin, Kinka, Takeshita, Yuhei, Shiga, Hisae, Tateishi, Hidekatsu, Onozawa, Shiro, Shirakawa, Yuya, Yamashita, Koji, Shudo, Jun, Nakamura, Keigo, Nakanishi, Akihito, Kuroki, Kazunori, Yokoyama, Kenichi
Additional file 2. Fig. S2: Group-wise mean FROC curves using criteria 1 and 2. The red lines show the FROC curves with CAD use, and the blue lines without CAD use.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c4241626315ef88da07ebc49f4960ac
Autor:
Katase, Shichiro, Ichinose, Akimichi, Hayashi, Mahiro, Watanabe, Masanaka, Chin, Kinka, Takeshita, Yuhei, Shiga, Hisae, Tateishi, Hidekatsu, Onozawa, Shiro, Shirakawa, Yuya, Yamashita, Koji, Shudo, Jun, Nakamura, Keigo, Nakanishi, Akihito, Kuroki, Kazunori, Yokoyama, Kenichi
Additional file 4. Table S1: Details of data used for internal/external validation test. Table S2: Number and proportion of FNs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07de83828f34ebcfd03957f113432fb0
Autor:
Katase, Shichiro, Ichinose, Akimichi, Hayashi, Mahiro, Watanabe, Masanaka, Chin, Kinka, Takeshita, Yuhei, Shiga, Hisae, Tateishi, Hidekatsu, Onozawa, Shiro, Shirakawa, Yuya, Yamashita, Koji, Shudo, Jun, Nakamura, Keigo, Nakanishi, Akihito, Kuroki, Kazunori, Yokoyama, Kenichi
Additional file 1. Fig. S1: Lung nodule CAD detection results. TPs/FPs/FNs are abbreviations for true positives/false positives/false negatives, respectively.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f58220911cfae87f1b5ab83384315e1