[HTML][HTML] Computerized ultrasonic imaging inspection: From shallow to deep learning

J Ye, S Ito, N Toyama - Sensors, 2018 - mdpi.com
For many decades, ultrasonic imaging inspection has been adopted as a principal method
to detect multiple defects, eg, void and corrosion. However, the data interpretation relies on …

Detection and discrimination of disease-related abnormalities based on learning normal cases

KS Deepak, NVK Medathati, J Sivaswamy - Pattern Recognition, 2012 - Elsevier
Detection of abnormalities from medical images is of key interest in developing computer-
aided diagnostic tools. In this paper, we observe the key challenges for representation and …

Region segmented image data creating system and feature extracting system for histopathological images

H Nosato, H Sakanashi, M Murakawa… - US Patent …, 2015 - Google Patents
(57) ABSTRACT A region segmented image data creating System for histo pathological
images is provided. The region segmented image data creating system is capable of …

An extended method of higher-order local autocorrelation feature extraction for classification of histopathological images

H Nosato, T Kurihara, H Sakanashi… - IPSJ Transactions on …, 2011 - jstage.jst.go.jp
In histopathological diagnosis, a clinical pathologist discriminates between normal tissues
and cancerous tissues. However, recently, the shortage of clinical pathologists is posing …

Gastric lymph node cancer detection using multiple features support vector machine for pathology diagnosis support system

T Ishikawa, J Takahashi, H Takemura… - The 15th International …, 2014 - Springer
In this paper, an automatic cancer detection method that combines multiple features to
support pathologists is presented. Cancer is the most cause of death in Japan, and patients …

Gastric lymph node cancer detection of multiple features classifier for pathology diagnosis support system

T Ishikawa, J Takahashi, H Takemura… - … on Systems, Man …, 2013 - ieeexplore.ieee.org
In this paper, an automatic cancer detection method that combines multiple features to
support pathologists was proposed. Cancer is the most cause of death in Japan, and …

[PDF][PDF] Study on Anomaly Image Detection for Capsule Endoscopy Diagnosis Support

胡尓重 - 2016 - tsukuba.repo.nii.ac.jp
Nowadays, as gastrointestinal diseases and gastrointestinal cancers have become one of
the most serious threats to worldwide human health, advanced examinational means are …

Notice of Removal: Automatic classification of neoplastic lesion on gastric biopsy images

E Morotomi, T Tanaka - 2015 54th Annual Conference of the …, 2015 - ieeexplore.ieee.org
In histopathological diagnosis, pathologists observe the biopsy images and diagnose the
tumor grade. However, the number of pathologists has been decreasing, so the demand for …

[HTML][HTML] Support system for pathologists and researchers

T Ishikawa, J Takahashi, M Kasai, T Shiina… - Journal of Pathology …, 2015 - Elsevier
Abstract Aims: In Japan, cancer is the most prevalent cause of death; the number of patients
suffering from cancer is increasing. Hence, there is an increased burden on pathologists to …

An Extended Method of Higher-order Local Autocorrelation Feature Extraction for Classification of Histopathological Images

H Nosato, T Kurihara, H Sakanashi… - Information and Media …, 2012 - jstage.jst.go.jp
In histopathological diagnosis, a clinical pathologist discriminates between normal tissues
and cancerous tissues. However, recently, the shortage of clinical pathologists is posing …