H
Hiroshi Oka
Researcher at Keio University
Publications - 58
Citations - 1710
Hiroshi Oka is an academic researcher from Keio University. The author has contributed to research in topics: Motor cortex & Excitatory postsynaptic potential. The author has an hindex of 22, co-authored 58 publications receiving 1644 citations. Previous affiliations of Hiroshi Oka include Kyoto University.
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An improved Internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm
Hitoshi Iyatomi,Hitoshi Iyatomi,Hiroshi Oka,M. Emre Celebi,Masahiro Hashimoto,Masafumi Hagiwara,Masaru Tanaka,Koichi Ogawa +7 more
TL;DR: An Internet-based melanoma screening system that separates the tumor area from the surrounding skin using highly accurate dermatologist-like tumor area extraction algorithm, and classifies the tumor as melanoma or nevus using a neural network classifier, and presents the diagnosis.
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Unsupervised border detection in dermoscopy images
M. Emre Celebi,Y. Alp Aslandogan,William V. Stoecker,Hitoshi Iyatomi,Hiroshi Oka,Xiaohe Chen +5 more
TL;DR: Automated border detection is one of the most important steps in the computer‐aided diagnosis of skin cancer procedure as the accuracy of the subsequent steps crucially depends on the accuracyof this step.
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The medial dorsal nucleus is one of the thalamic relays of the cerebellocerebral responses to the frontal association cortex in the monkey: horseradish peroxidase and fluorescent dye double staining study
TL;DR: It is revealed that the ventrolateral parts of the MD together form one of the thalamic relays of the cerebelloprefrontal responses.
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Quantitative assessment of tumour extraction from dermoscopy images and evaluation of computer-based extraction methods for an automatic melanoma diagnostic system.
Hitoshi Iyatomi,Hiroshi Oka,Masataka Saito,Ayako Miyake,Masayuki Kimoto,Jun Yamagami,Seiichiro Kobayashi,Akiko Tanikawa,Masafumi Hagiwara,Koichi Ogawa,Giuseppe Argenziano,H. Peter Soyer,Masaru Tanaka +12 more
TL;DR: The results indicate that the new algorithm extracted a tumour area close to that obtained by dermatologists and, in particular, the border part of the tumour was adequately extracted.
Journal ArticleDOI
Computer-Based Classification of Dermoscopy Images of Melanocytic Lesions on Acral Volar Skin
Hitoshi Iyatomi,Hiroshi Oka,M. Emre Celebi,Koichi Ogawa,Giuseppe Argenziano,H. Peter Soyer,Hiroshi Koga,Toshiaki Saida,Kuniaki Ohara,Masaru Tanaka +9 more
TL;DR: The automatic tumor area extraction algorithm successfully extracted the tumor in 199 cases, and a diagnostic classifier using these images was developed, and the features used in the melanoma-nevus classifier and the parallel ridge detector have significant overlap.