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Hiroko Tsunoda

Showing results (11-20 of 78) with videos related to

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Ultrasound in Medicine & Biology|December 2, 2020
Evaluation of Axillary Lymph Nodes in Breast Cancer Patients with Atopic DermatitisYuji Yamashita, Hiroko Tsunoda, Fumi Nozaki, et al.
Environmental Science and Pollution Research International|November 8, 2022
An association between mammographic breast density and fine particulate matter among postmenopausal womenRina Kotake, Hideko Yamauchi, Takeshi Kimura, et al.
Breast Cancer (Tokyo, Japan)|January 3, 2021
Overall assessment system of combined mammography and ultrasound for breast cancer screening in JapanKoji Ohnuki, Eriko Tohno, Hiroko Tsunoda, et al.
Breast Cancer (Tokyo, Japan)|October 7, 2008
Comparison of reading time between screen-film mammography and soft-copied, full-field digital mammographyMitsutomi Ishiyama, Hiroko Tsunoda-Shimizu, Mari Kikuchi, et al.
Journal of Medical Ultrasonics (2001)|October 18, 2022
Why is the depth/width ratio of a typical fibroadenoma small in breast ultrasonography?Kana Suga, Hiroko Tsunoda, Sho Fukui, et al.
Clinical Breast Cancer|May 31, 2016
Sustained Interruption of Anterior Interfaces Between Adipose Tissues and Mammary Glands in Ultrasonography After Complete Pathological Remission After Neoadjuvant Chemotherapy for Primary Breast CancerJunko Takei, Hiroko Tsunoda, Hiroshi Yagata, et al.
Journal of Medical Ultrasonics (2001)|February 27, 2017
Verification of recall criteria for masses detected on ultrasound breast cancer screeningKanako Ban, Hiroko Tsunoda, Sakiko Suzuki, et al.
Medicine|July 8, 2020
A deep learning-based automated diagnostic system for classifying mammographic lesionsTakeshi Yamaguchi, Kenichi Inoue, Hiroko Tsunoda, et al.
Breast Disease|February 22, 2023
Clinicopathological and imaging features of ductal carcinoma in situ in BRCA1/2 mutation carriersAkina Seki, Hiroko Tsunoda, Junko Takei, et al.
Ultrasound in Medicine & Biology|January 21, 2023
Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound ElastographyToshinori Fukuda, Hiroko Tsunoda, Kazuyo Yagishita, et al.
Pageof 8

Showing results (11-20 of 78) with videos related to

Sort By:
Pageof 8
Ultrasound in Medicine & Biology|December 2, 2020
Evaluation of Axillary Lymph Nodes in Breast Cancer Patients with Atopic DermatitisYuji Yamashita, Hiroko Tsunoda, Fumi Nozaki, et al.
Environmental Science and Pollution Research International|November 8, 2022
An association between mammographic breast density and fine particulate matter among postmenopausal womenRina Kotake, Hideko Yamauchi, Takeshi Kimura, et al.
Breast Cancer (Tokyo, Japan)|January 3, 2021
Overall assessment system of combined mammography and ultrasound for breast cancer screening in JapanKoji Ohnuki, Eriko Tohno, Hiroko Tsunoda, et al.
Breast Cancer (Tokyo, Japan)|October 7, 2008
Comparison of reading time between screen-film mammography and soft-copied, full-field digital mammographyMitsutomi Ishiyama, Hiroko Tsunoda-Shimizu, Mari Kikuchi, et al.
Journal of Medical Ultrasonics (2001)|October 18, 2022
Why is the depth/width ratio of a typical fibroadenoma small in breast ultrasonography?Kana Suga, Hiroko Tsunoda, Sho Fukui, et al.
Clinical Breast Cancer|May 31, 2016
Sustained Interruption of Anterior Interfaces Between Adipose Tissues and Mammary Glands in Ultrasonography After Complete Pathological Remission After Neoadjuvant Chemotherapy for Primary Breast CancerJunko Takei, Hiroko Tsunoda, Hiroshi Yagata, et al.
Journal of Medical Ultrasonics (2001)|February 27, 2017
Verification of recall criteria for masses detected on ultrasound breast cancer screeningKanako Ban, Hiroko Tsunoda, Sakiko Suzuki, et al.
Medicine|July 8, 2020
A deep learning-based automated diagnostic system for classifying mammographic lesionsTakeshi Yamaguchi, Kenichi Inoue, Hiroko Tsunoda, et al.
Breast Disease|February 22, 2023
Clinicopathological and imaging features of ductal carcinoma in situ in BRCA1/2 mutation carriersAkina Seki, Hiroko Tsunoda, Junko Takei, et al.
Ultrasound in Medicine & Biology|January 21, 2023
Deep Learning for Differentiation of Breast Masses Detected by Screening Ultrasound ElastographyToshinori Fukuda, Hiroko Tsunoda, Kazuyo Yagishita, et al.
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