Debapriya Banik

Orcid: 0000-0001-5031-1374

According to our database1, Debapriya Banik authored at least 14 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2025
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges.
Medical Image Anal., 2025

2024
Robust medical and color image cryptosystem using array index and chaotic S-box.
Clust. Comput., July, 2024

dHBLSN: A diligent hierarchical broad learning system network for cogent polyp segmentation.
Knowl. Based Syst., 2024

2023
2pClPr: A Two-Phase Clump Profiler for Segmentation of Cancer Cells in Fluorescence Microscopic Images.
IEEE Trans. Instrum. Meas., 2023

An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges.
CoRR, 2023

2022
LwMLA-NET: A Lightweight Multi-Level Attention-Based NETwork for Segmentation of COVID-19 Lungs Abnormalities From CT Images.
IEEE Trans. Instrum. Meas., 2022

RBECA: A regularized Bi-partitioned entropy component analysis for human face recognition.
Expert Syst. Appl., 2022

2021
Polyp-Net: A Multimodel Fusion Network for Polyp Segmentation.
IEEE Trans. Instrum. Meas., 2021

Exploring Hand-Crafted Features and Transfer Learning for Polyp Segmentation.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2021

2020
Deep Conditional Adversarial Learning for Polyp Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2020 Workshop, 2020

A Multi-Scale Patch-Based Deep Learning System for Polyp Segmentation.
Proceedings of the Advanced Computing and Systems for Security, 2020

2019
Suspicious-Region Segmentation From Breast Thermogram Using DLPE-Based Level Set Method.
IEEE Trans. Medical Imaging, 2019

Patch-based system for Classification of Breast Histology images using deep learning.
Comput. Medical Imaging Graph., 2019

2018
A Computer-Aided Hybrid Framework for Early Diagnosis of Breast Cancer.
Proceedings of the Advanced Computing and Systems for Security, 2018


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