Synopsis of recent research by authors named "Sertan Kaya"
- Sertan Kaya's research primarily focuses on the application of deep learning techniques in medical imaging, particularly in enhancing image quality for improved diagnostics, as demonstrated in his work on hematoxylin and eosin image super-resolution published in the *Journal of Pathology Informatics*.
- He has developed quantitative methods for assessing skin lesions, emphasizing the importance of automated measurement techniques to objectively determine malignancy potential through abruptness in the pigment patterns, highlighted in two publications in *BMC Bioinformatics*.
- Kaya's research also extends to nutrition and dietary assessment, utilizing food image analysis to streamline the quantification of food intake, showcasing innovative approaches like the Remote Food Photography Method (RFPM), which was discussed in the *Annual International Conference of the IEEE Engineering in Medicine and Biology Society*.
