N. Pandian

Hybrid Deep Learning-Based Automatic Diagnosis of Breast Cancer from Mammograms Using Segmentation and Feature Selection

N. Pandian, N Selvaganesh, D. Sorna Shanthi

Medical image processing plays a crucial role in the early detection and classification of diseases, particularly breast cancer, which is a leading cause of death among women. Mammography is widely used for breast cancer diagnosis, but accurately interpreting mammograms remains challenging even …

in (code pays fourni par la source)

Enhancing Leukemia Diagnosis: A Deep Learning Approach for Subtype Classification

Chandrasekar Venkatachalam, Priyanka Shah, Sathish Kumar R, N. Pandian et autres

Accurate classification of leukemia subtypes from microscopic images is crucial for treatment decisions and prognostic assessments. Manual methods are labor-intensive, time-consuming, and prone to inter-observer variability, necessitating automated systems. Traditional machine learning relies on manual feature extraction, while deep learning employs CNNs …

in (code pays fourni par la source)

Pubic symphysitis of enthesitis related arthritis mimicking urinary tract infection in a young boy

Neha Riswadkar, Rajoo Ramachandaran, N. Pandian, Mahesh Janarthanan

Enthesitis related arthritis (ERA) is a specific type of juvenile idiopathic arthritis (JIA) and ERA typically begins with enthesitis and peripheral arthritis in the lower extremities, progressing later in the disease to sacroiliitis and spinal involvement. The condition has a strong relationship …

in (code pays fourni par la source)

Real-Time Diagnostics with AI/ML: An Assessment of its Usefulness in Smart Health Care

N. Pandian, M K Phani Krishna

Actual-time diagnostics with AI/ML have been gaining traction in clever fitness care, imparting an efficient and accurate method of diagnosing and handling diverse health situations. By leveraging the power of AI/ML, healthcare professionals, and patients can benefit from progressed accuracy and efficiency …

in (code pays fourni par la source)

Quantum Key Distribution for ADS-B Data Transmission Security in Aircraft

Ahmad Zaher, Judy Rabaa, Lanke Ravi Kumar, N. Pandian

This research aims to investigate the security concerns of Automatic Dependent Surveillance-Broadcast (ADS-B) communication in the aviation industry and propose the Quantum Key Distribution (BB84) algorithm to generate a symmetric key using the principles of quantum mechanics and use it as a …

in (code pays fourni par la source)

An Articulate Heart Attack Detection System Using Mine Blast Optimization (MBO) Based Multilayer Perceptron Neural Network (MLPNN) Model

N. Pandian, D. Sorna Shanthi, N Selvaganesh

The creation of an automated system for heart disease detection was once one of the more common undertakings in the healthcare industries. For this purpose, the different types of big data analytics technologies are developed in the conventional works to predict the …

in (code pays fourni par la source)

A Novel Biased Probability Neural Network (BPNN) and Regularized Extreme Learning Machine (RELM) based Hearing Loss Prediction System

N Selvaganesh, D. Sorna Shanthi, N. Pandian

: Hearing loss or hearing impairment is one of the most leading cause highly affecting the people around the world in present days. Also, the youngsters and adults are mostly affecting by this disease, which affects their normal/social life, carrier, education, and …

in (code pays fourni par la source)

An automatic IoT based crop disease detection technique for early warning system using hybrid soft computing techniques

Chandrasekar Venkatachalam, N. Pandian, N Selvaganesh

in (code pays fourni par la source)

Analysis of performance of accuracy by adding new features individually using Relief-F and Budget Tree Random Forest (RFBTRF) method

K. Deepika, M Sowjanya Reddy, N. Pandian, Rakesh Kumar

The education is very important for improving the values of students in the society. Different types of features like school related features, student related features, parent related features and teacher related features are influencing the success rate of students in their education. …

in (code pays fourni par la source)

Poster session Wednesday 11 December all day display: 11/12/2013, 09:30-16:00 * Location: Poster area

Patrick Bertrand, Lars Grieten, C. J. P. P. Smeets, Frederik Hendrik Verbrugge et autres

Purpose: Systemic Sclerosis (SSc) involves the right heart (RH) with the appearance of pulmonary hypertension (PH). Whether SSc can directly affect RH function in absence of PH is unknown. Recently, 3D-echocardiography (3DE) and 2D-speckle tracking (2D-STE) have been validated to assess heart …

Comparative hemodynamic effects of percutaneously delivered circulatory support devices

Navin Kumar Kapur, Vikram Paruchuri, Duc Thinh Pham, Hamid Reza Salehi et autres

Preventing stroke in atrial fibrillation: the real battle / Devices and transplantation: salvage for end stage heart failure trolled trial comparing rivaroxaban and warfarin for the prevention of stroke or systemic embolism (per 100 pt-years) by intention-to-treat.The primary safety endpoint was the …

us (code pays fourni par la source)

QUANTO È AFFIDABILE IL VOLUME ATRIALE SINISTRO NELLA STIMA DELLA PRESSIONE ATRIALE SINISTRA IN PAZIENTI CON SCOMPENSO CARDIACO AVANZATO? STUDIO EMODINAMICO ED ECOCARDIOGRAFICO TRIDIMENSIONALE

Arturo Evangelista, Jogeshwar Mukherjee, Pierpaolo Pellicori, Francesco Fulvio Faletra et autres