Search Results - "Kundu, Rohit"

A fuzzy rank-based ensemble of CNN models for classification of cervical cytology by Manna, Ankur, Kundu, Rohit, Kaplun, Dmitrii, Sinitca, Aleksandr, Sarkar, Ram

“…Cervical cancer affects more than 0.5 million women annually causing more than 0.3 million deaths. Detection of cancer in its early stages is of prime…”
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Pneumonia detection in chest X-ray images using an ensemble of deep learning models by Kundu, Rohit, Das, Ritacheta, Geem, Zong Woo, Han, Gi-Tae, Sarkar, Ram

“…Pneumonia is a respiratory infection caused by bacteria or viruses; it affects many individuals, especially in developing and underdeveloped nations, where…”
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A union of deep learning and swarm-based optimization for 3D human action recognition by Basak, Hritam, Kundu, Rohit, Singh, Pawan Kumar, Ijaz, Muhammad Fazal, Woźniak, Marcin, Sarkar, Ram

“…Human Action Recognition (HAR) is a popular area of research in computer vision due to its wide range of applications such as surveillance, health care, and…”
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Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans by Kundu, Rohit, Basak, Hritam, Singh, Pawan Kumar, Ahmadian, Ali, Ferrara, Massimiliano, Sarkar, Ram

“…COVID-19 has crippled the world’s healthcare systems, setting back the economy and taking the lives of several people. Although potential vaccines are being…”
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ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images by Kundu, Rohit, Singh, Pawan Kumar, Ferrara, Massimiliano, Ahmadian, Ali, Sarkar, Ram

“…The COVID-19 virus has caused a worldwide pandemic, affecting numerous individuals and accounting for more than a million deaths. The countries of the world…”
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Prism refraction search: a novel physics-based metaheuristic algorithm by Kundu, Rohit, Chattopadhyay, Soumitri, Nag, Sayan, Navarro, Mario A., Oliva, Diego

“…Single-solution-based optimization algorithms are computationally cheap yet powerful methods that can be used on various optimization tasks at minimal…”
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HFMOEA: a hybrid framework for multi-objective feature selection by Kundu, Rohit, Mallipeddi, Rammohan

“…Abstract In this data-driven era, where a large number of attributes are often publicly available, redundancy becomes a major problem, which leads to large…”
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Deep features selection through genetic algorithm for cervical pre-cancerous cell classification by Kundu, Rohit, Chattopadhyay, Soham

“…Cervical cancer affects more than 500,000 women in the world annually accounting for about 6-9% of all cancer cases, but, its tedious detection procedure makes…”
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MFSNet: A multi focus segmentation network for skin lesion segmentation by Basak, Hritam, Kundu, Rohit, Sarkar, Ram

“…•We propose a deep learning model called MFSNet (Multi-Focus Segmentation Network).•MFSNet uses differently scaled feature maps for skin lesion…”
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AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets by Kundu, Rohit, Chattopadhyay, Soham, Cuevas, Erik, Sarkar, Ram

“…The data-driven modern era has enabled the collection of large amounts of biomedical and clinical data. DNA microarray gene expression datasets have mainly…”
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COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble by Kundu, Rohit, Singh, Pawan Kumar, Mirjalili, Seyedali, Sarkar, Ram

“…The COVID-19 pandemic has collapsed the public healthcare systems, along with severely damaging the economy of the world. The SARS-CoV-2 virus also known as…”
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Segmentation of brain MRI using an altruistic Harris Hawks’ Optimization algorithm by Bandyopadhyay, Rajarshi, Kundu, Rohit, Oliva, Diego, Sarkar, Ram

“…Segmentation is an essential requirement in medicine when digital images are used in illness diagnosis, especially, in posterior tasks as analysis and disease…”
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Pneumonia detection from lung X‐ray images using local search aided sine cosine algorithm based deep feature selection method by Chattopadhyay, Soumitri, Kundu, Rohit, Singh, Pawan Kumar, Mirjalili, Seyedali, Sarkar, Ram

“…Pneumonia is a major cause of death among children below the age of 5 years, globally. It is especially prevalent in developing and underdeveloped nations…”
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Serf: Towards better training of deep neural networks using log-Softplus ERror activation Function by Nag, Sayan, Bhattacharyya, Mayukh, Mukherjee, Anuraag, Kundu, Rohit

“…Activation functions play a pivotal role in determining the training dynamics and neural network performance. The widely adopted activation function ReLU…”
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An ensemble approach for still image-based human action recognition by Banerjee, Avinandan, Roy, Sayantan, Kundu, Rohit, Singh, Pawan Kumar, Bhateja, Vikrant, Sarkar, Ram

“…Still-image based human action recognition is a challenging task in the field of computer vision due to the limited information available in a single image…”
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The Interaction Of Treadmill Type And Incline Slope On Biomechanics And Muscle Activation During Human Locomotion by Kundu, Rohit, Sanchez, Ricardo, Krieger, Taj, Lankford, Eli

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Ideal: Improved Dense Local Contrastive Learning For Semi-Supervised Medical Image Segmentation by Basak, Hritam, Chattopadhyay, Soumitri, Kundu, Rohit, Nag, Sayan, Mallipeddi, Rammohan

“…Due to the scarcity of labeled data, Contrastive Self-Supervised Learning (SSL) frameworks have lately shown great potential in several medical image analysis…”
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Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches by Bhunia, Ayan Kumar, Gajjala, Viswanatha Reddy, Koley, Subhadeep, Kundu, Rohit, Sain, Aneeshan, Xiang, Tao, Song, Yi-Zhe

“…The human visual system is remarkable in learning new visual concepts from just a few examples. This is precisely the goal behind few-shot class incremental…”
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Towards Granularity-adjusted Pixel-level Semantic Annotation by Kundu, Rohit, Paul, Sudipta, Lal, Rohit, Roy-Chowdhury, Amit K

“…Recent advancements in computer vision predominantly rely on learning-based systems, leveraging annotations as the driving force to develop specialized models…”
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MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation by Basak, Hritam, Kundu, Rohit, Sarkar, Ram

“…Segmentation is essential for medical image analysis to identify and localize diseases, monitor morphological changes, and extract discriminative features for…”
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