Diabetic retinopathy (DR) remains a major cause of preventable visual impairment, yet existing automated systems predominantly focus on diagnosis and provide limited support for disease progression assessment. We present a unified multimodal machine and deep learning framework for joint DR diagnosis and prognostic mo...
Vikram Ratan, Jaikumar M. Patil, Priyanka V. Deshmukh· Scientific Reports· 0 citations
Lung cancer remains a major contributor to global cancer mortality, highlighting the urgent need for accurate and efficient early diagnostic tools. This study proposes a deep learning–based computer-aided diagnosis (CAD) framework for automated lung nodule segmentation and malignancy classification using the publicly a...
Anand G. Sharma, N. Kandoi, Priyanka V. Deshmukh· Egyptian Journal of Bronchol...· 0 citations
This survey presents a structured, design-oriented analysis of RAG-driven conversational systems through a principled framework that decomposes architectures along critical dimensions, including document segmentation and chunking strategies, embedding and indexing mechanisms, retriever and re-ranking models, knowledge...
V. Ghaywat, Abhyuday Singh, Aniket K. Shahade et al.· Discover Artificial Intellig...· 0 citations
The proposed system demonstrates potential as an assistive tool for automated lung cancer screening, warranting further validation on larger and multi-institutional datasets before clinical application.
Vishwas V. Patange, Jagadish B. Jadhav, Sanjay L. Nalbalwar et al.· Scientific Reports· 0 citations
Citrus crops are economically vital worldwide, yet they remain highly susceptible to a range of infectious diseases that cause considerable yield and quality losses each year. Early and accurate disease identification is fundamental to sustainable orchard management and food security. Over the past decade, deep learnin...
Aniket K. Shahade, Vishal Jain, G. Manteghi et al.· 2026 International Conferenc...· 0 citations
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