Gourishetty Sindhusha

HemaViT: transformer-based deep learning for automated non-invasive anemia detection using conjunctival imaging

Gourishetty Sindhusha, Rupesh K. Mishra, R. Jegadeesan

Abstract Anemia is a common hematological disorder that requires timely diagnosis to reduce the risk of severe health complications, particularly in resource-limited healthcare settings. This study proposes HemaViT, a transformer-based deep learning framework for automated, non-invasive detection of anemia from conjunctival images. …

in (code pays fourni par la source)

Hybrid Feature Extraction and Classification for Conjunctiva-based Anemia Screening

Gourishetty Sindhusha, Rupesh Kumar Mishra, Jegadeesan R

Anemia is still a significant worldwide health problem, especially in low-resource environments with restricted availability of laboratory-based blood assays. This study proposes a non-invasive, image-based anemia screening system with conjunctiva images and ensemble deep learning. The proposed method combines three pre-trained CNNs, …

in (code pays fourni par la source)

Boosting Breast Cancer Classification in Histopathological Images Through Federated Learning Techniques

Balajee Maram, V. Malathy, Ravi Hariprasad, D. Shalini et autres

in (code pays fourni par la source)

Ecoaudit – Verification of Corporate Environment Claims

Gourishetty Sindhusha, Jegadeesan R, P.Pranitha, Neeha Krishna et autres

Detection of Iron Deficiency Anemia Using Convolutional Neural Networks Based on Conjunctival Pallor Images

Gourishetty Sindhusha, Rupesh Kumar Mishra, Jegadeesan R

Anemia is a major public health problem, especially in children, which can be diagnosed using invasive blood examinations that are expensive and not feasible in low-resource environments. The present study introduces a non-invasive anemia prediction system via conjunctival images that is safer …

in (code pays fourni par la source)

Ensemble Deep Feature Fusion for Noninvasive Anemia Classification using Conjuctiva Images

Gourishetty Sindhusha, Rupesh Kumar Mishra, R Jegadeesan

As a Major public health issue, anemia affects more than two billion people around the globe. Many resource-constrained environments lack well-equipped labs, which are necessary for many conventional diagnostic techniques which depend on invasive blood testing. This paper presents a noninvasive, image-based …

in (code pays fourni par la source)