Kyushu University Academic Staff Educational and Research Activities Database
List of Books
Yoshinao Oda Last modified date:2020.07.08

Professor / Department of Anatomic Pathology / Department of Basic Medicine / Faculty of Medical Sciences


Books
1. Antonescu CR, Blay J-Y, Bovee JVMG, Bridge JA, Cunha IW, Dei Tos AP, Flanagan AM, Fletcher CDM, Folpe AL, Hornick JL, Mertens F, Miettinen M, Nielsen GP, Oda Y, Yoshida A. Expert members, Editorial Board , WHO Classification of Tumours, 5th Edition, Soft Tissue and Bone Tumours, IARC, Lyon, 2020.05.
2. Oda Y, Biegel JA, Pfister SM, WHO Classification of Tumours, 5th Edition, Soft Tissue and Bone Tumours: Extrarenal rhabdoid tumour, IARC, Lyon, p309-311, 2020.05.
3. Oda Y, Dal Cin P, Le Loarer F, Nielsen TO, WHO Classification of Tumours, 5th Edition, Soft Tissue and Bone Tumours: Epithelioid sarcoma, IARC, Lyon, p294-296, 2020.05.
4. Emi Hashimoto, Masahiro Ishikawa, Kazuma Shinoda, Madoka Hasegawa, Hideki Komagata, Naoki Kobayashi, Naoki Mochidome, Yoshinao Oda, Chika Iwamoto, Kenoki Ouchida, Makoto Hashizume, Tissue classification of liver pathological tissue specimens image using spectral features, SPIE, 10.1117/12.2253818, 10140, 2017, In digital pathology diagnosis, accurate recognition and quantification of the tissue structure is an important factor for computer-aided diagnosis. However, the classification accuracy of cytoplasm is low in Hematoxylin and eosin (HE) stained liver pathology specimens because the RGB color values of cytoplasm are almost similar to that of fibers. In this paper, we propose a new tissue classification method for HE stained liver pathology specimens by using hyperspectral image. At first we select valid spectra from the image to make a clear distinction between fibers and cytoplasm, and then classify five types of tissue based on the bag of features (BoF). The average classification accuracy for all tissues was improved by 11% in the case of using BoF of RGB and selected spectra bands in comparison with using only RGB. In particular, the improvement reached to 24% for fibers and 5% for cytoplasm..
5. Yoshinao Oda, P Dal Cin, WB Laskin, Epithelioid sarcoma.
Fletcher CDM, Bridge JA, Hogendoorn PCW, Mertens F Eds.
WHO Classification of Tumours of Soft Tissue and Bone.
.
, IARC, Lyon 2013, IARC, Lyon 2013, pp216-218, 2013.01.
6. Yoshinao Oda, JA Biegel, Extrarenal rhabdoid tumour
Fletcher CDM, Bridge JA, Hogendoorn PCW, Mertens F Eds.
WHO Classification of Tumours of Soft Tissue and Bone.

, IARC, Lyon 2013, IARC, Lyon 2013, pp228-229., 2013.01.