1 code implementation • Neural Computing and Applications, Springer 2023 • Nandita Gautam, Abhishek Basu, Ram Sarkar
Our approach leverages deep transfer learning and adopts an ensemble learning approach.
Ranked #1 on Lung Nodule Classification on LIDC-IDRI
1 code implementation • Scientific Reports 2023 • Momojit Biswas, Rishav Pramanik, Shibaprasad Sen, Aleksandr Sinitca, Dmitry Kaplun, Ram Sarkar
Then we apply the sum-rule-based ensemble method on the outcomes of U-Net models to get the final prediction mask.
no code implementations • 31 Aug 2022 • Hritam Basak, Sagnik Ghosal, Ram Sarkar
Due to the imbalanced and limited data, semi-supervised medical image segmentation methods often fail to produce superior performance for some specific tailed classes.
1 code implementation • Applied Soft Computing 2022 • Rishav Pramanik, Sourodip Sarkar, Ram Sarkar
The proposed method successfully eliminates non-informative features obtained from the ResNet50 model, thereby improving the Pneumonia detection ability of the overall framework.
Ranked #1 on Classification on Chest X-Ray Images (Pneumonia)
1 code implementation • Computer Methods and Programs in Biomedicine 2022 • Rishav Pramanik, Momojit Biswas, ShibaprasadSen, Luis Antonio de Souza Júnior, João Paulo Papa, Ram Sarkar
This article proposes a fuzzy distance-based ensemble approach composed of deep learning models for cervical cancer detection in PaP smear images.
Ranked #1 on Image Classification on HErlev
2 code implementations • 27 Mar 2022 • Hritam Basak, Rohit Kundu, Ram Sarkar
Segmentation is essential for medical image analysis to identify and localize diseases, monitor morphological changes, and extract discriminative features for further diagnosis.
Ranked #1 on Semantic Segmentation on PH2
1 code implementation • 17 Sep 2021 • Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva, Ram Sarkar
In this paper, we perform the multi-level thresholding using an evolutionary metaheuristic.
1 code implementation • IEEE Journal of Biomedical and Health Informatics 2021 • Pratik Bhowal, Subhankar Sen, Jin Hee Yoon Zong Woo Geem, Ram Sarkar
In this paper, we have applied Choquet integral for ensemble and propose a novel method for the evaluation of fuzzy measures using Coalition Game Theory, Information Theory, and Lambda fuzzy approximation.
1 code implementation • Scientific Reports 2021 • Ankur Manna, Rohit Kundu, Dmitrii Kaplun, Aleksandr Sinitca, Ram Sarkar
The proposed model has been evaluated on two publicly available benchmark datasets, namely, the SIPaKMeD Pap Smear dataset and the Mendeley Liquid Based Cytology (LBC) dataset, using a 5‑fold cross‑validation scheme.
Ranked #3 on Image Classification on SIPaKMeD
1 code implementation • Scientific Reports 2021 • Rohit Kundu, Hritam Basak, Pawan Kumar Singh, Ali Ahmadian, Massimiliano Ferrara, Ram Sarkar
COVID‑19 has crippled the world’s healthcare systems, setting back the economy and taking the lives of several people.
Ranked #1 on Image Classification on SARS-COV-2
no code implementations • 17 Sep 2020 • Pawan Kumar Singh, Shubham Sinha, Sagnik Pal Chowdhury, Ram Sarkar, Mita Nasipuri
This paper addresses the automatic segmentation of text words directly from unconstrained Bangla handwritten document images.
Optical Character Recognition Optical Character Recognition (OCR) +1
no code implementations • 16 Sep 2020 • Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri
A considerable amount of success has been achieved in developing monolingual OCR systems for Indic scripts.
no code implementations • 16 Sep 2020 • Pawan Kumar Singh, Iman Chatterjee, Ram Sarkar, Mita Nasipuri
In a multilingual country like India where 12 different official scripts are in use, automatic identification of handwritten script facilitates many important applications such as automatic transcription of multilingual documents, searching for documents on the web/digital archives containing a particular script and for the selection of script specific Optical Character Recognition (OCR) system in a multilingual environment.
Optical Character Recognition Optical Character Recognition (OCR)
no code implementations • 10 May 2020 • Ritam Guha, Manosij Ghosh, Shyok Mutsuddi, Ram Sarkar, Seyedali Mirjalili
The binary version of Whale Optimization Algorithm (WOA) is a popular FS technique which is inspired from the foraging behavior of humpback whales.
1 code implementation • 10 May 2020 • Devroop Kar, Manosij Ghosh, Ritam Guha, Ram Sarkar, Laura García-Hernández, Ajith Abraham
The developed algorithms are called Mutation based GPS (MGPS) and Mutation based PSOGSA (MPSOGSA).
no code implementations • 10 May 2020 • Ritam Guha, Manosij Ghosh, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri
In any multi-script environment, handwritten script classification is of paramount importance before the document images are fed to their respective Optical Character Recognition (OCR) engines.
no code implementations • 10 May 2020 • Kushal Kanti Ghosh, Ritam Guha, Soulib Ghosh, Suman Kumar Bera, Ram Sarkar
'Hybrid meta-heuristics' is one of the most interesting recent trends in the field of optimization and feature selection (FS).
no code implementations • 29 Jun 2018 • Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri
Recognition of handwritten Roman characters and numerals has been extensively studied in the last few decades and its accuracy reached to a satisfactory state.
no code implementations • 26 Jul 2017 • Supratim Das, Pawan Kumar Singh, Showmik Bhowmik, Ram Sarkar, Mita Nasipuri
In this paper, we introduced a Harmony Search (HS) algorithm based feature selection method for feature dimensionality reduction in handwritten Bangla word recognition problem.
no code implementations • 22 Jan 2015 • Nibaran Das, Sandip Pramanik, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu
In this work, 25 features are extracted based on different bays attributes of the convex hull of the digit patterns.
no code implementations • 22 Jan 2015 • Nibaran Das, Subhadip Basu, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri, Dipak Kumar Basu
Appropriate feature set for representation of pattern classes is one of the most important aspects of handwritten character recognition.
no code implementations • 22 Jan 2015 • Ram Sarkar, Bibhash Sen, Nibaran Das, Subhadip Basu
The segmentation accuracy achieved by the current technique is 94. 8%.
no code implementations • 22 Jan 2015 • Nibaran Das, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri
In the current work we have developed a two-pass approach where the first pass classifier performs a coarse classification, based on some global features of the input pattern by restricting the possibility of classification decisions within a group of classes, smaller than the number of classes considered initially.
no code implementations • 2 Oct 2014 • Nibaran Das, Sandip Pramanik, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri
The current research aims to evaluate the performance of the convex hull based feature set, i. e. 125 features in all computed over different bays attributes of the convex hull of a pattern, for effective recognition of isolated handwritten Bangla basic characters and digits.