Medical Imaging 2018: Computer-Aided Diagnosis

Front Matter: Volume 10575

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2315758 ◽

2018 ◽

Author(s):

Proceedings of SPIE

Keyword(s):

Matter Volume

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Computer aided diagnosis system for automated label-free early detection of oral epithelial cancer and dysplasia based on autofluorescence lifetime imaging endoscopy (Conference Presentation)

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2293813 ◽

2018 ◽

Author(s):

Javier A. Jo ◽

Shuna Cheng ◽

Rodrigo Cuenca ◽

Elvis Duran ◽

Bilal Malik ◽

...

Keyword(s):

Early Detection ◽

Computer Aided Diagnosis ◽

Label Free ◽

Epithelial Cancer ◽

Diagnosis System ◽

Lifetime Imaging ◽

Computer Aided ◽

Oral Epithelial ◽

Aided Diagnosis

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The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2293864 ◽

2018 ◽

Cited By ~ 1

Author(s):

Nastaran Emaminejad ◽

Grace H. Kim ◽

Matthew S. Brown ◽

Michael F. McNitt-Gray ◽

John Hoffman ◽

...

Keyword(s):

Image Acquisition ◽

Ct Image ◽

Feature Variability ◽

Feature Values

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Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2293374 ◽

2018 ◽

Author(s):

Hiroyuki Yoshida ◽

Janne Nappi ◽

Radin Nasirudina ◽

Chinatsu Watari ◽

Shoji Kido ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Lung Diseases ◽

Interstitial Lung Diseases ◽

Clinical Predictors

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Expert identification of visual primitives used by CNNs during mammogram classification

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2293890 ◽

2018 ◽

Cited By ~ 1

Author(s):

Scott Hsieh ◽

Constance D. Lehman ◽

Vandana Dialani ◽

Bolei Zhou ◽

Diondra Peck ◽

...

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Deep learning and texture-based semantic label fusion for brain tumor segmentation

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2292930 ◽

2018 ◽

Cited By ~ 1

Author(s):

Mahbubul Alam ◽

Lasitha S. Vidyaratne ◽

Zeina Shboul ◽

Khan M. Iftekharuddin

Keyword(s):

Deep Learning ◽

Brain Tumor ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Label Fusion ◽

Semantic Label

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Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2292444 ◽

2018 ◽

Author(s):

David Palma ◽

Sarah Mattonen ◽

Suresh Senan ◽

Aaron D. Ward ◽

Salma Dammak

Keyword(s):

Lung Cancer ◽

Radiation Therapy ◽

Early Detection ◽

System Design ◽

Cancer Recurrence ◽

Stereotactic Ablative Radiation Therapy

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Applying a CAD-generated imaging marker to assess short-term breast cancer risk

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2291527 ◽

2018 ◽

Cited By ~ 2

Author(s):

Seyedehnafiseh Mirniaharikandehei ◽

Ali Zarafshani ◽

Morteza Heidari ◽

Yunzhi Wang ◽

Faranak Aghaei ◽

...

Keyword(s):

Breast Cancer ◽

Breast Cancer Risk ◽

Cancer Risk ◽

Short Term

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A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2295972 ◽

2018 ◽

Author(s):

Le Lu ◽

Jiamin Liu ◽

Karthik Chellamuthu ◽

Mohammadhadi Bagheri ◽

Ronald M. Summers

Keyword(s):

Pericardial Effusion ◽

Chest Ct ◽

Ct Scans ◽

Coarse To Fine

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Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Medical Imaging 2018: Computer-Aided Diagnosis ◽

10.1117/12.2293412 ◽

2018 ◽

Cited By ~ 5

Author(s):

Ravi K. Samala ◽

Heang-Ping Chan ◽

Lubomir M. Hadjiiski ◽

Mark A. Helvie ◽

Caleb Richter ◽

...

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Convolutional Neural Network ◽

Transfer Learning ◽

Cancer Diagnosis ◽

Digital Breast Tomosynthesis ◽

Breast Cancer Diagnosis ◽

Breast Tomosynthesis ◽

Cross Domain ◽

Task Transfer

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Medical Imaging 2018: Computer-Aided Diagnosis
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Published By SPIE

Front Matter: Volume 10575

Computer aided diagnosis system for automated label-free early detection of oral epithelial cancer and dysplasia based on autofluorescence lifetime imaging endoscopy (Conference Presentation)

The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions

Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases

Expert identification of visual primitives used by CNNs during mammogram classification

Deep learning and texture-based semantic label fusion for brain tumor segmentation

Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design

Applying a CAD-generated imaging marker to assess short-term breast cancer risk

A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans

Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Export Citation Format

Medical Imaging 2018: Computer-Aided DiagnosisLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By SPIE

Front Matter: Volume 10575

Computer aided diagnosis system for automated label-free early detection of oral epithelial cancer and dysplasia based on autofluorescence lifetime imaging endoscopy (Conference Presentation)

The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions

Deep radiomic prediction with clinical predictors of the survival in patients with rheumatoid arthritis-associated interstitial lung diseases

Expert identification of visual primitives used by CNNs during mammogram classification

Deep learning and texture-based semantic label fusion for brain tumor segmentation

Early detection of lung cancer recurrence after stereotactic ablative radiation therapy: radiomics system design

Applying a CAD-generated imaging marker to assess short-term breast cancer risk

A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans

Cross-domain and multi-task transfer learning of deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis

Medical Imaging 2018: Computer-Aided Diagnosis
Latest Publications