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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

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

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.

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.
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Computer-Based Classification of Dermoscopy Images of Melanocytic Lesions on Acral Volar Skin

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.