An integrated AI pipeline for automated cytogenetic analysis of bone marrow karyograms in hematological malignancies: A Pix2Pix enhancement and deep learning detection approach.
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| Title: | An integrated AI pipeline for automated cytogenetic analysis of bone marrow karyograms in hematological malignancies: A Pix2Pix enhancement and deep learning detection approach. |
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| Authors: | Alsubaie L; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., Alsobaie S; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., Alhammad N; Artificial Intelligence Center for Advanced Studies, King Saud University, Riyadh, Saudi Arabia., Aldhubayi L; Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.; Artificial Intelligence Center for Advanced Studies, King Saud University, Riyadh, Saudi Arabia., Al-Shaikh Y; Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia. |
| Source: | Journal of pathology informatics [J Pathol Inform] 2026 May 20; Vol. 22, pp. 100677. Date of Electronic Publication: 2026 May 20 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2229-5089 |
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| DOI: | 10.1016/j.jpi.2026.100677 |
