Medical Image Segmentation Using Automatic Optimized U-Net Architecture Based on Genetic Algorithm.

Image segmentation is a crucial aspect of clinical decision making in medicine, and as such, it has greatly enhanced the sustainability of medical care. Consequently, biomedical image segmentation has become a prominent research area in the field of computer vision. With the advent of deep learning, many manual design-based methods have been proposed and have shown promising results in achieving state-of-the-art performance in biomedical image segmentation.

[Neonatal leukemia and Blueberry Muffin Baby Syndrome: About a case of trisomy 21].

Acute leukemias are rare disease in the neonatal period. They occur preferentially in newborns with trisomy 21. They often manifest as hepatosplenomegaly, extra-hematopoietic involvement and hyperleukocytosis.

Atypical chronic myeloid leukemia BCR-ABL 1 negative: A case report and literature review.

Atypical chronic myeloid leukemia (aCML), negative is a rare myelodysplastic syndrome/myeloproliferative neoplasm for which no current standard of care exists. The blood smear of patients with aCML showed prominent immature granulocytosis, and granulocytic dysplasia. We admitted a 58-year-old man with splenomegaly, hyperleukocytosis, anemia, and thrombocytopenia; then cytology, cytogenetic and molecular biology analysis of bone morrow were performed and the diagnosis of aCML was made according to 2016 World Health Organization diagnostic criteria.