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Bone Marrow Cytomorphology Cell Detection using InceptionResNetV2
- Publication Year :
- 2023
-
Abstract
- Critical clinical decision points in haematology are influenced by the requirement of bone marrow cytology for a haematological diagnosis. Bone marrow cytology, however, is restricted to reference facilities with expertise, and linked to inter-observer variability which requires a long time to process that could result in a delayed or inaccurate diagnosis, leaving an unmet need for cutting-edge supporting technologies. This paper presents a novel transfer learning model for Bone Marrow Cell Detection to provide a solution to all the difficulties faced for the task along with considerable accuracy. The proposed model achieved 96.19\% accuracy which can be used in the future for analysis of other medical images in this domain.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2305.05430
- Document Type :
- Working Paper