A handheld computer-aided diagnosis system and simulated analysis

Mapping Intimacies ◽

10.1117/12.2216421 ◽

2016 ◽

Author(s):

Mingjian Su ◽

Xuejun Zhang ◽

Brent Liu ◽

Kening Su ◽

Ryan Louie

Keyword(s):

Computer Aided Diagnosis ◽

Handheld Computer ◽

Diagnosis System ◽

Computer Aided ◽

Simulated Analysis ◽

Aided Diagnosis

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Computer-Aided Diagnosis System for Lung Nodule Classification Using Computer Tomography Scan Images

Физические основы приборостроения ◽

10.25210/jfop-1902-050061 ◽

2019 ◽

Vol 8 (2) ◽

pp. 50-61

Author(s):

V.F. Kravchenko ◽

◽

V.I. Ponomaryov ◽

R. Reyes-Reyes ◽

E.M. Rendon-Gonzalez ◽

...

Keyword(s):

Computer Tomography ◽

Lung Nodule ◽

Computer Aided Diagnosis ◽

Diagnosis System ◽

Computer Tomography Scan ◽

Computer Aided ◽

Aided Diagnosis ◽

Nodule Classification ◽

Tomography Scan

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Computer Aided Diagnosis System for Breast Cancer using ID3 and SVM Based on Slantlet Transform

Qalaai Zanist Scientific Journal ◽

10.25212/lfu.qzj.2.2.16 ◽

2017 ◽

Vol 2 (2) ◽

Author(s):

Mohammed Salih Mahdi

Keyword(s):

Breast Cancer ◽

Computer Aided Diagnosis ◽

Diagnosis System ◽

Computer Aided ◽

Aided Diagnosis

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553 A computer-aided diagnosis system for bullous disease based on deep learning

Journal of Investigative Dermatology ◽

10.1016/j.jid.2019.03.629 ◽

2019 ◽

Vol 139 (5) ◽

pp. S95

Author(s):

Y. Wang ◽

X. He ◽

F. Li ◽

W. Zhu

Keyword(s):

Deep Learning ◽

Computer Aided Diagnosis ◽

Diagnosis System ◽

Bullous Disease ◽

Computer Aided ◽

Aided Diagnosis

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Intelligent computer-aided diagnosis system for breast MRI combining kinetic and morphological aspects

10.1117/12.777241 ◽

2008 ◽

Author(s):

Axel Wismüller ◽

Anke Meyer-Bäse ◽

Oliver Lange

Keyword(s):

Computer Aided Diagnosis ◽

Diagnosis System ◽

Morphological Aspects ◽

Computer Aided ◽

Aided Diagnosis ◽

Intelligent Computer

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An automatic Computer-Aided Diagnosis system based on the Multimodal fusion of Breast Cancer (MF-CAD)

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.102914 ◽

2021 ◽

Vol 69 ◽

pp. 102914

Author(s):

Raouia Mokni ◽

Norhene Gargouri ◽

Alima Damak ◽

Dorra Sellami ◽

Wiem Feki ◽

...

Keyword(s):

Breast Cancer ◽

Computer Aided Diagnosis ◽

Multimodal Fusion ◽

Diagnosis System ◽

Automatic Computer ◽

Computer Aided ◽

Aided Diagnosis

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Diagnosis of thyroid cancer using a TI-RADS-based computer-aided diagnosis system: a multicenter retrospective study

Clinical Imaging ◽

10.1016/j.clinimag.2020.12.012 ◽

2021 ◽

Author(s):

Zhuang Jin ◽

Yaqiong Zhu ◽

Shijie Zhang ◽

Fang Xie ◽

Mingbo Zhang ◽

...

Keyword(s):

Thyroid Cancer ◽

Retrospective Study ◽

Computer Aided Diagnosis ◽

Diagnosis System ◽

System A ◽

Computer Aided ◽

Diagnosis Of Thyroid Cancer ◽

Aided Diagnosis

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A computer-aided diagnosis system using white-light endoscopy for the prediction of conventional adenoma with high grade dysplasia

Digestive and Liver Disease ◽

10.1016/j.dld.2021.12.016 ◽

2022 ◽

Author(s):

Sijun Meng ◽

Yueping Zheng ◽

Wangyue Wang ◽

Ruizhang Su ◽

Yu Zhang ◽

...

Keyword(s):

White Light ◽

Computer Aided Diagnosis ◽

High Grade Dysplasia ◽

Diagnosis System ◽

White Light Endoscopy ◽

Computer Aided ◽

Conventional Adenoma ◽

Aided Diagnosis

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Discrimination of benign and malignant solid breast masses using deep residual learning-based bimodal computer-aided diagnosis system

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2021.103453 ◽

2022 ◽

Vol 73 ◽

pp. 103453

Author(s):

Zahra Assari ◽

Ali Mahloojifar ◽

Nasrin Ahmadinejad

Keyword(s):

Computer Aided Diagnosis ◽

Breast Masses ◽

Diagnosis System ◽

Residual Learning ◽

Computer Aided ◽

Aided Diagnosis

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Computer-aided diagnosis system: A Bayesian hybrid classification method

Computer Methods and Programs in Biomedicine ◽

10.1016/j.cmpb.2013.05.029 ◽

2013 ◽

Vol 112 (1) ◽

pp. 104-113 ◽

Author(s):

F. Calle-Alonso ◽

C.J. Pérez ◽

J.P. Arias-Nicolás ◽

J. Martín

Keyword(s):

Computer Aided Diagnosis ◽

Classification Method ◽

Diagnosis System ◽

System A ◽

Computer Aided ◽

Hybrid Classification ◽

Aided Diagnosis

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Development of a Computer-aided Diagnosis System to Distinguish between Benign and Malignant Mammary Tumors in Dynamic Magnetic Resonance Images: Automatic Detection of the Position with the Strongest Washout Effect in the Tumor

Japanese Journal of Radiological Technology ◽

10.6009/jjrt.2018_jsrt_74.3.251 ◽

2018 ◽

Vol 74 (3) ◽

pp. 251-261 ◽

Author(s):

Yoshiaki Miyazaki ◽

Nobuyuki Tabata ◽

Tomomi Taroura ◽

Kenji Shinozaki ◽

Yuichiro Kubo ◽

...

Keyword(s):

Magnetic Resonance ◽

Automatic Detection ◽

Mammary Tumors ◽

Computer Aided Diagnosis ◽

Magnetic Resonance Images ◽

Diagnosis System ◽

Dynamic Magnetic Resonance ◽

Computer Aided ◽

Aided Diagnosis

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