Interdisciplinary Research Activities

(a) An efficient deep learning model was developed for classifying cell membranes and nuclei Immuno-histochemical images for breast cancer detection [IEEE Trans. on Image Proc., 27(5)2018].

(b) Deep Transfer Learning Model for Ki-67 stained Hotspot Detection using Immunohistochemical (IHC) Imaging

[Nature - Scientific Reports, article no. 3213, doi:10.1038/s41598-017-03405-5, (2017)] NATURE PUBLISHING GROUP

(c) Deep learning model for mitosis detection using breast histopathology images

[Computerized Medical Imaging & Graphics; 2018 Mar:64:29-40. doi: 10.1016/j.compmedimag.2017.12.001]

This study proposed a supervised model to detect mitosis signature from breast histopathology whole slide images. An intelligent model was developed using deep learning architecture with handcrafted features consisting of morphological, textural and intensity features.

(d) Handloomed fabrics recognition with deep learning [Collaborative research work with NECTAR-DST from NITTTR Kolkata]

[ Nature - Scientific Reports 14(1):7974. doi: 10.1038/s41598-024-58750-z(2024) ] NATURE PUBLISHING GROUP