Furthermore, the quantitative fibrosis method significantly correlated with MF grade in patients with myeloproliferative neoplasms and the <i>JAK2</i>V617F mutant allele burden.<h4>Conclusion</h4>Our novel deep learning-based method successfully captured temporal changes in bone marrow and spleen fibrosis and shows potential for clinical application.<h4>Trial registration</h4>The authors have confirmed clinical trial registration is not needed for this submission. The gene discussed is JAK2; the disease is myeloproliferative neoplasm.