PY-Net: Rethinking segmentation frameworks with dense pyramidal operations for optic disc and cup segmentation from retinal fundus images.

Saptarshi Chatterjee

Rajarshi Bhattacharya Rukhshanda Hussain Agniv Chatterjee Dwipayan Paul Saptarshi Chatterjee Debangshu Dey PY-Net: Rethinking segmentation frameworks with dense pyramidal operations for optic disc and cup segmentation from retinal fundus images. 104895 2023 August 85 Biomed. Signal Process. Control. https://doi.org/10.1016/j.bspc.2023.104895 db/journals/bspc/bspc85.html#BhattacharyaHCPCD23

Amitava Halder Saptarshi Chatterjee Debangshu Dey Adaptive morphology aided 2-pathway convolutional neural network for lung nodule classification. 103347 2022 72 Biomed. Signal Process. Control. Part https://doi.org/10.1016/j.bspc.2021.103347 db/journals/bspc/bspc72.html#HalderCD22

Saptarshi Chatterjee Debangshu Dey Sugata Munshi Surajit Gorai Dermatological expert system implementing the ABCD rule of dermoscopy for skin disease identification. 114204 2021 167 Expert Syst. Appl. https://doi.org/10.1016/j.eswa.2020.114204 db/journals/eswa/eswa167.html#ChatterjeeDMG21

Soumi Das Arshdeep Singh Saptarshi Chatterjee Suparna Bhattacharya Sourangshu Bhattacharya Finding High-Value Training Data Subset Through Differentiable Convex Programming. 666-681 2021 ECML/PKDD (2) https://doi.org/10.1007/978-3-030-86520-7_41 conf/pkdd/2021-2 db/conf/pkdd/pkdd2021-2.html#DasSCBB21

Soumi Das Arshdeep Singh Saptarshi Chatterjee Suparna Bhattacharya Sourangshu Bhattacharya Finding High-Value Training Data Subset through Differentiable Convex Programming. 2021 abs/2104.13794 CoRR https://arxiv.org/abs/2104.13794 db/journals/corr/corr2104.html#abs-2104-13794

Amitava Halder Saptarshi Chatterjee Debangshu Dey Surajit Kole Sugata Munshi An adaptive morphology based segmentation technique for lung nodule detection in thoracic CT image. 105720 2020 197 Comput. Methods Programs Biomed. https://doi.org/10.1016/j.cmpb.2020.105720 https://www.wikidata.org/entity/Q98903219 db/journals/cmpb/cmpb197.html#HalderCDKM20

Saptarshi Chatterjee Debangshu Dey Sugata Munshi Surajit Gorai Extraction of features from cross correlation in space and frequency domains for classification of skin lesions. 2019 53 Biomed. Signal Process. Control. https://doi.org/10.1016/j.bspc.2019.101581 https://www.wikidata.org/entity/Q127666614 db/journals/bspc/bspc53.html#ChatterjeeDMG19

Saptarshi Chatterjee Debangshu Dey Sugata Munshi Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification. 201-218 2019 178 Comput. Methods Programs Biomed. https://doi.org/10.1016/j.cmpb.2019.06.018 https://www.wikidata.org/entity/Q92644359 db/journals/cmpb/cmpb178.html#ChatterjeeDM19

Soumyadeep Pal Saptarshi Chatterjee Debangshu Dey Sugata Munshi Morphological operations with iterative rotation of structuring elements for segmentation of retinal vessel structures. 373-389 2019 30 Multidimens. Syst. Signal Process. 1 https://doi.org/10.1007/s11045-018-0561-9 https://www.wikidata.org/entity/Q130162098 db/journals/mssp/mssp30.html#PalCDM19

Saptarshi Chatterjee Debangshu Dey Sugata Munshi Optimal selection of features using wavelet fractal descriptors and automatic correlation bias reduction for classifying skin lesions. 252-262 2018 40 Biomed. Signal Process. Control. https://doi.org/10.1016/j.bspc.2017.09.028 db/journals/bspc/bspc40.html#ChatterjeeDM18

Rajarshi Bhattacharya Sourangshu Bhattacharya Suparna Bhattacharya Agniv Chatterjee Soumi Das Debangshu Dey Surajit Gorai Amitava Halder Rukhshanda Hussain Surajit Kole Sugata Munshi Soumyadeep Pal Dwipayan Paul Arshdeep Singh