Amira Ashour
researcher
Facts
4 properties- Instance of
- human
- Date of birth
- 1975
- Occupation
- researcher
🏷️ Also known as
en Amira Ashour
🔖 Identifiers · 9
- ISNI
- 0000000455804356
- ORCID iD
- 0000-0003-3217-6185
- VIAF cluster ID
- 2781145857105922921732
- GND ID
- 1127237292
- DBLP author ID
- 162/9395
- DDB person (GND) ID
- 1127237292
- National Library of Israel J9U ID
- 987007419144705171
- Scopus author ID
- 7005633559
- Yale LUX ID
- person/f7f8a6dd-9ffe-4fa6-94ac-68cd2e99bc7c
🔗 Connections
Author of 92
A Cascaded Classification-Segmentation Reversible System for Computer-Aided Detection and Cells Counting in Microscopic Peripheral Blood Smear Basophils and Eosinophils Images,
Adjectives Grouping in a Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation.,
Advanced Topological Map Matching Algorithm Based on D–S Theory,
A hybrid dermoscopy images segmentation approach based on neutrosophic clustering and histogram estimation,
A MapReduce approach to diminish imbalance parameters for big deoxyribonucleic acid dataset,
An approach to examine Magnetic Resonance Angiography based on Tsallis entropy and deformable snake model,
A new hybrid classifier selection model based on mRMR method and diversity measures,
An Integrated Interactive Technique for Image Segmentation using Stack based Seeded Region Growing and Thresholding
+84 more
← Authored by 92
A Cascaded Classification-Segmentation Reversible System for Computer-Aided Detection and Cells Counting in Microscopic Peripheral Blood Smear Basophils and Eosinophils Images,
Adjectives Grouping in a Dimensionality Affective Clustering Model for Fuzzy Perceptual Evaluation.,
Advanced Topological Map Matching Algorithm Based on D–S Theory,
A hybrid dermoscopy images segmentation approach based on neutrosophic clustering and histogram estimation,
A MapReduce approach to diminish imbalance parameters for big deoxyribonucleic acid dataset,
An approach to examine Magnetic Resonance Angiography based on Tsallis entropy and deformable snake model,
A new hybrid classifier selection model based on mRMR method and diversity measures,
An Integrated Interactive Technique for Image Segmentation using Stack based Seeded Region Growing and Thresholding
+84 more
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