Subhankar Chattoraj
YOU?
Author Swipe
View article: Cross-validation of an artificial intelligence tool for fracture classification and localization on conventional radiography in Dutch population
Cross-validation of an artificial intelligence tool for fracture classification and localization on conventional radiography in Dutch population Open
Objectives The aim of this study is to validate the effectiveness of an AI tool trained on Indian data in a Dutch medical center and to assess its ability to classify and localize fractures. Methods Conventional radiographs acquired betwee…
View article: Using Artificial Intelligence to Stratify Normal versus Abnormal Chest X-rays: External Validation of a Deep Learning Algorithm at East Kent Hospitals University NHS Foundation Trust
Using Artificial Intelligence to Stratify Normal versus Abnormal Chest X-rays: External Validation of a Deep Learning Algorithm at East Kent Hospitals University NHS Foundation Trust Open
Background: The chest radiograph (CXR) is the most frequently performed radiological examination worldwide. The increasing volume of CXRs performed in hospitals causes reporting backlogs and increased waiting times for patients, potentiall…
View article: Comparative Evaluation of Digital and Analog Chest Radiographs to Identify Tuberculosis using Deep Learning Model
Comparative Evaluation of Digital and Analog Chest Radiographs to Identify Tuberculosis using Deep Learning Model Open
Purpose:Chest X-ray (CXR) is an essential tool and one of the most prescribed imaging to detect pulmonary abnormalities, with a yearly estimate of over 2 billion imaging performed worldwide. However, the accurate and timely diagnosis of TB…
View article: Identification of Hemorrhage and Infarct Lesions on Brain CT Images using Deep Learning
Identification of Hemorrhage and Infarct Lesions on Brain CT Images using Deep Learning Open
Head Non-contrast computed tomography (NCCT) scan remain the preferred primary imaging modality due to their widespread availability and speed. However, the current standard for manual annotations of abnormal brain tissue on head NCCT scan…
View article: Role of an Automated Deep Learning Algorithm for Reliable Screening of Abnormality in Chest Radiographs: A Prospective Multicenter Quality Improvement Study
Role of an Automated Deep Learning Algorithm for Reliable Screening of Abnormality in Chest Radiographs: A Prospective Multicenter Quality Improvement Study Open
In medical practice, chest X-rays are the most ubiquitous diagnostic imaging tests. However, the current workload in extensive health care facilities and lack of well-trained radiologists is a significant challenge in the patient care path…
View article: StationPlot: A New Non-stationarity Quantification Tool for Detection of\n Epileptic Seizures
StationPlot: A New Non-stationarity Quantification Tool for Detection of\n Epileptic Seizures Open
A novel non-stationarity visualization tool known as StationPlot is developed\nfor deciphering the chaotic behavior of a dynamical time series. A family of\nanalytic measures enumerating geometrical aspects of the non-stationarity &\ndegre…
View article: StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures Open
A novel non-stationarity visualization tool known as StationPlot is developed for deciphering the chaotic behavior of a dynamical time series. A family of analytic measures enumerating geometrical aspects of the non-stationarity & degree o…
View article: Manifold Learning & Stacked Sparse Autoencoder for Robust Breast Cancer Classification from Histopathological Images.
Manifold Learning & Stacked Sparse Autoencoder for Robust Breast Cancer Classification from Histopathological Images. Open
Histopathological images (HI) encrypt resolution dependent heterogeneous textures & diverse color distribution variability, manifesting in micro-structural surface tissue convolutions. Also, inherently high coherency of cancerous cells pos…
View article: Diving Deep onto Discriminative Ensemble of Histological Hashing & Class-Specific Manifold Learning for Multi-class Breast Carcinoma Taxonomy
Diving Deep onto Discriminative Ensemble of Histological Hashing & Class-Specific Manifold Learning for Multi-class Breast Carcinoma Taxonomy Open
Histopathological images (HI) encrypt resolution dependent heterogeneous textures & diverse color distribution variability, manifesting in micro-structural surface tissue convolutions. Also, inherently high coherency of cancerous cells pos…
View article: Diving Deep onto Discriminative Ensemble of Histological Hashing & Class-Specific Manifold Learning for Multi-class Breast Carcinoma Taxonomy
Diving Deep onto Discriminative Ensemble of Histological Hashing & Class-Specific Manifold Learning for Multi-class Breast Carcinoma Taxonomy Open
Histopathological images (HI) encrypt resolution dependent heterogeneous textures & diverse color distribution variability, manifesting in micro-structural surface tissue convolutions. Also, inherently high coherency of cancerous cells pos…
View article: Classification of histopathological breast cancer images using iterative VMD aided Zernike moments & textural signatures.
Classification of histopathological breast cancer images using iterative VMD aided Zernike moments & textural signatures. Open
In this paper we present a novel method for an automated diagnosis of breast carcinoma through multilevel iterative variational mode decomposition (VMD) and textural features encompassing Zernaike moments, fractal dimension and entropy fea…
View article: Classification of histopathological breast cancer images using iterative VMD aided Zernike moments & textural signatures
Classification of histopathological breast cancer images using iterative VMD aided Zernike moments & textural signatures Open
In this paper we present a novel method for an automated diagnosis of breast carcinoma through multilevel iterative variational mode decomposition (VMD) and textural features encompassing Zernaike moments, fractal dimension and entropy fea…
View article: A Biometric Solution for Door Locking System using Real time Embedded System and Arduino as the Microcontroller
A Biometric Solution for Door Locking System using Real time Embedded System and Arduino as the Microcontroller Open
In today's world be it offices, laboratories, school or home the first thing which concern is the security.In order to make your data, money, premises and personal belonging safe and secured from unauthorized person.This paper represents a…