Sujit Kumar Das
Orcid: 0000-0002-7807-1461
According to our database1,
Sujit Kumar Das
authored at least 18 papers
between 2017 and 2024.
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Bibliography
2024
Res4net-CBAM: a deep cnn with convolution block attention module for tea leaf disease diagnosis.
Multim. Tools Appl., May, 2024
HCNNet: hybrid convolution neural network for automatic identification of ischaemia in diabetic foot ulcer wounds.
Multim. Syst., February, 2024
2023
Multim. Tools Appl., December, 2023
AESPNet: Attention Enhanced Stacked Parallel Network to improve automatic Diabetic Foot Ulcer identification.
Image Vis. Comput., October, 2023
SE_SPnet: Rice leaf disease prediction using stacked parallel convolutional neural network with squeeze-and-excitation.
Expert Syst. J. Knowl. Eng., August, 2023
2022
Multim. Tools Appl., 2022
CR-SSL: A closely related self-supervised learning based approach for improving breast ultrasound tumor segmentation.
Int. J. Imaging Syst. Technol., 2022
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach.
Int. J. Imaging Syst. Technol., 2022
DFU_SPNet: A stacked parallel convolution layers based CNN to improve Diabetic Foot Ulcer classification.
ICT Express, 2022
A multi-task learning based approach for efficient breast cancer detection and classification.
Expert Syst. J. Knowl. Eng., 2022
Oversample-select-tune: A machine learning pipeline for improving diabetes identification.
Concurr. Comput. Pract. Exp., 2022
Fusion of handcrafted and deep convolutional neural network features for effective identification of diabetic foot ulcer.
Concurr. Comput. Pract. Exp., 2022
2021
Health Informatics, 2021
Breast ultrasound tumour classification: A Machine Learning - Radiomics based approach.
Expert Syst. J. Knowl. Eng., 2021
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2021
2018
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2018
2017
Proceedings of the Ninth International Conference on Advances in Pattern Recognition, 2017