Publications by authors named "Mohamed Yousuf"
G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation.
Int J Comput Assist Radiol Surg
January 2025
Purpose: This article introduces a novel deep learning approach to substantially improve the accuracy of colon segmentation even with limited data annotation, which enhances the overall effectiveness of the CT colonography pipeline in clinical settings.
Methods: The proposed approach integrates 3D contextual information via guided sequential episodic training in which a query CT slice is segmented by exploiting its previous labeled CT slice (i.e.
Article Synopsis
- The study evaluates the levels of organochlorine pesticides (OCPs) and polycyclic aromatic hydrocarbons (PAHs) in tissues of stranded sea snakes in Sharjah, UAE, analyzing samples from 13 individuals of three species.
- Muscle, liver, and fat tissues were processed using micro-QuEChERs and analyzed with gas chromatography-mass spectrometry (GC/MS), revealing that OCPs were present in higher concentrations while PAHs were detected more frequently.
- The findings indicate significant bioaccumulation of OCPs and PAHs in sea snake tissues, with variations in OCP types detected based on tissue type and higher concentrations of OCPs compared to previous studies in marine reptiles.
This patient, known to have ectodermal dysplasia, was referred to the hospital to investigate the cause for his significant pedal oedema and hypoproteinaemia. Investigations ruled out protein loss from the kidney and there was no evidence of chronic liver disease. Protein-losing enteropathy became a diagnosis of exclusion.
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