Biomedical image classification in a big data architecture using machine learning algorithms

C Tchito Tchapga, TA Mih… - Journal of …, 2021 - Wiley Online Library
In modern‐day medicine, medical imaging has undergone immense advancements and can
capture several biomedical images from patients. In the wake of this, to assist medical …

An efficient segmentation and classification system in medical images using intuitionist possibilistic fuzzy C-mean clustering and fuzzy SVM algorithm

CL Chowdhary, M Mittal, KP, PA Pattanaik… - Sensors, 2020 - mdpi.com
The herpesvirus, polyomavirus, papillomavirus, and retrovirus families are associated with
breast cancer. More effort is needed to assess the role of these viruses in the detection and …

Chest X-ray investigation: A convolutional neural network approach

TK Das, CL Chowdhary, XZ Gao - Journal of Biomimetics …, 2020 - Trans Tech Publ
Though India being home of one out of every six people in the globe, is facing an arduous
task of providing healthcare service, especially to the large number of patients in remote …

Presentation of novel hybrid algorithm for detection and classification of breast cancer using growth region method and probabilistic neural network

ZN Isfahani, I Jannat-Dastjerdi… - Computational …, 2021 - Wiley Online Library
Mammography is a significant screening test for early detection of breast cancer, which
increases the patient's chances of complete recovery. In this paper, a clustering method is …

Segmenting and classifying MRI multimodal images using cuckoo search optimization and KNN classifier

R Sumathi, M Venkatesulu, SP Arjunan - IETE Journal of Research, 2023 - Taylor & Francis
Currently, the death rate of cancer diseases like brain cancer, lung cancer, skin cancer and
breast cancer is increasing. To analyze the internal functionality of tumors, there are many …

A Hybrid Model: Random Classification and Feature Selection Approach for Diagnosis of the Parkinson Syndrome

S Bhakar, M Shekhawat, N Kundu, SS Vijay - … Computing: Practice and …, 2024 - scpe.org
Nowadays Parkinson's disease has been discovered that approximately 94% of people
suffer from voice disorder problems. A neurodegenerative can identify PD patients through …

Ocular Disease Severity Identification and Performance Optimisation using Custom Net Model

S Bhakar, P Vishnawat, N Kundu, SS Vijay - Scalable Computing: Practice …, 2024 - scpe.org
Early detection and timely cure of ocular disease play a vital role to avoid irreversible vision
issues in daily life. The technique fundus assessment utilizes color fundus photography …

Cloud Based Extensible Business Management Suite and Data Predictions

R Dukiya, K Perumal - Recent Advances in Computer Science …, 2021 - ingentaconnect.com
Introduction: The present research work was carried out using an enhanced market
prediction algorithm in the cloud-based business, handing out the CRM system. The …

[PDF][PDF] Stack overflow tag prediction using deep learning algorithm

V Lakshmi, V Prabha, P Udayakumar, N Swetha… - Int. J. Sci …, 2021 - researchgate.net
Stack Overflow (SO) gathering is a broadly utilized stage for individuals to communicate on
themes identified with Computer Programming dialects. Within excess of three lakh clients …

Simple Linear Iterative Clustering (SLIC) and Graph Theory-Based Image Segmentation

CL Chowdhary - Handbook of Research on Machine Learning …, 2021 - igi-global.com
With the extensive application of deep acquisition devices, it has become more feasible to
access deep data. The accuracy of image segmentation can be improved by depth data as …