Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art

Table 1

pdac tumour segmentation algorithms in medical imaging.

Study	Medical modality	Proposed segmentation method	Results
Tam et al. [19]	CT	Region growing algorithm	Efficient: Jaccard index of 73.37–86.97
Balakrishna et al. [20]	CT	MATLAB	Detecting edges, corners, and points differentiating images
Sindhu et al. [18]	MRI	Texture extraction with BFA	Texture feature extraction with BFA has an accuracy of 89%.
Farag et al. [21]	CT	Cascaded superpixel segmentation	Superpixels preserve more boundaries. Dice coefficient of 70.7% and Jaccard index of 57.9%
Reddy et al. [22]	MRI and CT	K-means clustering and Haar wavelet transform	Based on threshold value with a mean threshold of 8.88