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Disambiguation of "Zargari, Abolfazl"

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A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification.

, , , , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 1058116. SPIE, (2018)

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Parviz Zargari

Abolfazl Dahbashi

Abolfazl Adli

Abolfazl Ghoreschi

Abolfazl Naini

 

Other publications of authors with the same name

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer., , , , , and . Comput. Methods Programs Biomed., (2019)A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification., , , , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 1058116. SPIE, (2018)Fire detection in video sequences using a machine learning system and a clustered quantitative image marker., , and . GHTC, page 1-5. IEEE, (2019)Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750P. SPIE, (2018)Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105752L. SPIE, (2018)Deep learning denoising for EOG artifacts removal from EEG signals., , , and . GHTC, page 1-6. IEEE, (2020)Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction., , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 10952 of SPIE Proceedings, page 109520X. SPIE, (2019)Image quality enhancement in wireless capsule endoscopy with Adaptive Fraction Gamma Transformation and Unsharp Masking filter., , , , , and . GHTC, page 1-7. IEEE, (2020)A Practical Method for Pupil segmentation in challenging conditions., , , , and . GHTC, page 1-5. IEEE, (2020)Applying a new feature fusion method to classify breast lesions., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)