Cite

    Bugday, M. et al. (2023). Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation mapping based deep hybrid model. International journal of imaging systems and technology. 33 (2), pp. 760-769. [Online].