Search Results for author:
Found 24 papers, 10 papers with code
Lung cancer detection from thoracic CT scans using an ensemble of deep learning models
Our approach leverages deep transfer learning and adopts an ensemble learning approach.
Ranked #1 on
Lung Nodule Classification
on LIDC-IDRI
Microstructural segmentation using a union of attention guided U-Net models with different color transformed images
Then we apply the sum-rule-based ensemble method on the outcomes of U-Net models to get the final prediction mask.
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI
Due to the imbalanced and limited data, semi-supervised medical image segmentation methods often fail to produce superior performance for some specific tailed classes.
An Adaptive and Altruistic PSO-based Deep Feature Selection Method for Pneumonia Detection from Chest X-Rays
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)
A fuzzy distance-based ensemble of deep models for cervical cancer detection
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
MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation
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
Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm
In this paper, we perform the multi-level thresholding using an evolutionary metaheuristic.
Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray Images
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.
A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical Cytology
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
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-Scans
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
Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform
This paper addresses the automatic segmentation of text words directly from unconstrained Bangla handwritten document images.
Optical Character Recognition
Optical Character Recognition (OCR)
+1
Handwritten Script Identification from Text Lines
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)
A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition
A considerable amount of success has been achieved in developing monolingual OCR systems for Indic scripts.
Atom Search Optimization with Simulated Annealing -- a Hybrid Metaheuristic Approach for Feature Selection
'Hybrid meta-heuristics' is one of the most interesting recent trends in the field of optimization and feature selection (FS).
Fuzzy Mutation Embedded Hybrids of Gravitational Search and Particle Swarm Optimization Methods for Engineering Design Problems
The developed algorithms are called Mutation based GPS (MGPS) and Mutation based PSOGSA (MPSOGSA).
A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem
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.
Embedded Chaotic Whale Survival Algorithm for Filter-Wrapper Feature Selection
The binary version of Whale Optimization Algorithm (WOA) is a popular FS technique which is inspired from the foraging behavior of humpback whales.
Recognition of Offline Handwritten Devanagari Numerals using Regional Weighted Run Length Features
Recognition of handwritten Roman characters and numerals has been extensively studied in the last few decades and its accuracy reached to a satisfactory state.
A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition
In this paper, we introduced a Harmony Search (HS) algorithm based feature selection method for feature dimensionality reduction in handwritten Bangla word recognition problem.
Handwritten Devanagari Script Segmentation: A non-linear Fuzzy Approach
The segmentation accuracy achieved by the current technique is 94. 8%.
Design of a novel convex hull based feature set for recognition of isolated handwritten Roman numerals
In this work, 25 features are extracted based on different bays attributes of the convex hull of the digit patterns.
A GA Based approach for selection of local features for recognition of handwritten Bangla numerals
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.
An Improved Feature Descriptor for Recognition of Handwritten Bangla Alphabet
Appropriate feature set for representation of pattern classes is one of the most important aspects of handwritten character recognition.
Recognition of Handwritten Bangla Basic Characters and Digits using Convex Hull based Feature Set
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.
