Papers by Dr. Ananjan Maiti
Journal of mechanics of continua and mathematical sciences, Feb 18, 2024
Communications in computer and information science, Nov 29, 2023
Ecological Informatics, May 1, 2022
Advances in intelligent systems and computing, 2021
Current Medical Imaging Reviews, Sep 9, 2020
Advances in intelligent systems and computing, Oct 2, 2018
Diabetic retinopathy (DR) is a retinal vascular disease that affects 10 % people connected with d... more Diabetic retinopathy (DR) is a retinal vascular disease that affects 10 % people connected with diabetic patients, and it could make humans blind. It is observed that appropriate screening and early identification of the illness can aid affected patients. Thus, computational recognition for DR health issues is undoubtedly demanded to apprehend the illness precisely in initial phase. The role of this study is to assess the dataset from the diabetic patients. The dataset is certainly utilized for setup of this smart solution that is obtained from the offered sources via the Internet. The initial K-Nearest Neighbor (k-NN) algorithm enhanced with instance weights considering that an added specification to identify the class of the instance. Here we have given weights that work with the construct of the data set and presented priority-based class discernibility. Here, the value of K is figured out through criterion similar to average density. The modified K-NN algorithm is implemented efficiently to analyze the dataset. The outcome of this classification technique demonstrates a useful alternative as it is better than an original K-NN algorithm to assist the diabetic patients. In future, it will support diabetic retinopathy victims to evaluate various characteristics of the illness.
Innovations in Systems and Software Engineering, Nov 16, 2022
International Journal of Ambient Computing and Intelligence, 2021
Early interpretation of skin cancer through computer-aided diagnosis (CAD) tools reduced the intr... more Early interpretation of skin cancer through computer-aided diagnosis (CAD) tools reduced the intricacy of the treatments as it can attain a 95% recovery rate. To frame up with computer-aided diagnosis system, scientists adopted various artificial intelligence (AI) designed to receive the best classifiers among these diverse features. This investigation covers traditional color-based texture, shape, and statistical features of melanoma skin lesion and contrasted with suggested methods and approaches. The quantized color feature set of 4992 traits were pre-processed before training the model. The experimental images have combined images of naevus (1500), melanoma (1000), and basal cell carcinoma (500). The proposed methods handled issues like class imbalanced with generative adversarial networks (GAN). The recommended color quantization method with synthetic data generation increased the accuracy of the popular machine learning models as it gives an accuracy of 97.08% in random forest...
Ecological Informatics, 2021
Advances in Intelligent Systems and Computing, 2018
Recent Trends in Signal and Image Processing, 2021
Advances in Intelligent Systems and Computing, 2018
The K-Nearest Neighbor (K-NN) is a primarily chosen method when it comes to the object classifica... more The K-Nearest Neighbor (K-NN) is a primarily chosen method when it comes to the object classification, disease interpretation, and various other fields. In numerous cases, K-NN classifier uses the only parameter as K value, which is the number of nearest neighbors to decide the class of the instance and this appears to be insufficient. Within this study, we have looked at the initial K-Nearest Neighbor algorithm and also proposed modified K-NN algorithm to identify various ailments. Enhancing precision of the initial K-Nearest Neighbor algorithm, this specific suggested method consists of instance weights as an added parameter to determine the class of the example. This study presented a novel technique to assign weights, which utilizes the information from the structure of the data set and assigns weights to every instance relying on the priority of the instance in class discernibility. In this approach, we have included an additional metric “average density” together with “discern...
Current Medical Imaging Formerly Current Medical Imaging Reviews, 2020
Computer-aided diagnosis (CAD) systems are the best alternative for immediate disclosure and diag... more Computer-aided diagnosis (CAD) systems are the best alternative for immediate disclosure and diagnosis of skin diseases. Such systems comprise several image processing procedures, including segmentation, feature extraction and artificial intelligence (AI) based methods. This survey highlights different CAD methodologies for diagnosing Melanoma and related skin diseases. It has also discussed types, stages, treatments and various imaging techniques of skin cancer. Currently, researchers developed new techniques to detect each stage. Extensive studies on melanoma cancer detection were performed by incorporating advanced machine learning. Still, there is a high need for an accurate, faster, affordable, portable methodology for a CAD system. This will strengthen the work in related fields and address the future direction of a similar kind of research.
Multimedia Tools and Applications, 2019
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Papers by Dr. Ananjan Maiti