Deep Learning Skin Cancer Detection (Multi-Type, ISIC2018)
A deep learning project for multi-class skin cancer detection using ISIC2018 dataset.
I enjoy making things. Here are a selection of projects that I have worked on over the years.
A deep learning project for multi-class skin cancer detection using ISIC2018 dataset.
A transcriptomics-driven, multi-modal investigation integrating RNA-seq, neuroimaging, and iPSC-derived neuronal models to identify βIV spectrin and AKT/GSK3 pathway dysregulation …
Multi-modal integration of transcriptomic gene expression and neuroimaging biomarkers for Major Depressive Disorder (MDD), identifying biologically interpretable molecular …
Automatic 3D prostate MRI segmentation using Conditional GANs, integrating volumetric MRI input, adversarial training, and post-processing for accurate segmentation.
Adaptive parcellation of brain regions in MDD using KL distance enhances sensitivity of Regional Homogeneity (ReHo) biomarkers, enabling individualized and robust translational …