A hybrid features fusion-based framework for classification of breast micronodules using ultrasonography

Computer-aided diagnosis greatly assists radiologists and reduces their workload. Therefore, this research can serve as a foundation for other researchers to build clinical solutions.

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Institutions

Publication Details

Journal
BMC Medical Imaging
Published
2024-09-20
DOI
https://doi.org/10.1186/s12880-024-01425-y
Citations
3
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
1.04

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article

A hybrid features fusion-based framework for classification of breast micronodules using ultrasonography

Mousa Alhajlah
3 citations
BMC Medical Imaging
AI in cancer detection
1.04
article

A hybrid features fusion-based framework for classification of breast micronodules using ultrasonography

Mousa Alhajlah
article en
3 citations

Abstract

Computer-aided diagnosis greatly assists radiologists and reduces their workload. Therefore, this research can serve as a foundation for other researchers to build clinical solutions.

BMC Medical ImagingVol. 24(1)
King Saud University (SA)
King Saud University
Good health and well-being
Openalex Percentile: Top 19%
AI in cancer detection
1.04
DOIOpen Access PDFOpenAlex
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A hybrid features fusion-based framework for classification of breast micronodules using ultrasonography — Mousa Alhajlah · BMC Medical Imaging (2024) | TGRS Research Map | TGRS