Unsupervised Sputum Color Image Segmentation for Lung Cancer Diagnosis

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概要

• 論文の詳細を見る
• 1996-07-01

著者

• NAKAMURA S.

  Tokushima Health Screening Center, Japan.

• MORI S.

  Tokushima Health Screening Center, Japan.

• Nishitani H.

  Medical School Of Tokushima

• SAMMOUDA R.

  Dept. of Optical Sc. & Technology. Tokushima Univ.

• NIKI N.

  Dept. of Optical Sc. & Technology. Tokushima Univ.

• KIYOKAGE E.

  Medical School of Tokushima Univ.

• Niki N.

  Faculty Of Engineering University Of Tokushima

• Sammouda R.

  Dept. Of Optical Sc. & Technology. Tokushima Univ.

関連論文

• A Comparison of Color Space Representations in Segmenting Sputum Color Images using Artificial Neural Networks
• Sputum Color Image Segmentation for Lung Cancer Diagnosis
• Sputum Color Image Segmentation for Lung Cancer Diagnosis based on Neural Networks
• The Effects of Inhomogeneities and Geometry on MCG due to a Single Current Dipole
• Resolvability of MUSIC Algorithm in Solving Multiple Dipole Biomagnetic Localization from Spatio-Temporal MCG Data
• Multiple Dipole Magnetocardiographic Functional Localization Study Using a Realistic Conductivity geometry Model
• Algorithm for Magnetocardiography Analysis Based on Multichannel SQUID and Thoracic MR Images
• Unsupervised Sputum Color Image Segmentation for Lung Cancer Diagnosis
• Sputum Color Image Segmentation for Lung Cancer Diagnosis based on Neural Networks

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