6 citations · 11 across the 4 of their papers we have counts for
4 papers
Deep Learning for Automated Screening of Tuberculosis from Indian Chest X-rays: Analysis and Update
Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4
Background and Objective: Tuberculosis (TB) is a significant public health issue and a leading cause of death worldwide. Millions of deaths can be averted by early diagnosis and su…
Deep LF-Net: Semantic Lung Segmentation from Indian Chest Radiographs Including Severely Unhealthy Images
Anushikha Singh, Brejesh Lall, B. K. Panigrahi +4
A chest radiograph, commonly called chest x-ray (CxR), plays a vital role in the diagnosis of various lung diseases, such as lung cancer, tuberculosis, pneumonia, and many more. Au…
Tumor Classification and Segmentation of MR Brain Images
Tanvi Gupta, Pranay Manocha, Tapan K. Gandhi +2
The diagnosis and segmentation of tumors using any medical diagnostic tool can be challenging due to the varying nature of this pathology. Magnetic Reso- nance Imaging (MRI) is an…
Automated Tumor Segmentation and Brain Mapping for the Tumor Area
Pranay Manocha, Snehal Bhasme, Tanvi Gupta +2
Magnetic Resonance Imaging (MRI) is an important diagnostic tool for precise detection of various pathologies. Magnetic Resonance (MR) is more preferred than Computed Tomography (C…