FMDB Transactions on Sustainable Health Science Letters
2026 Vol.4 No.1

ISSN: 2993-6896


Editor: Ela Vashishtha

Pages Title and author(s)
1-11 Transformer-Based Multimodal Framework for Epileptic Seizure Detection, Prediction, and Clinical Decision Support Gnaneswari Gnanaguru, B. M. Praveen, S. Silvia Priscila Keywords: Seizure Prediction; Decision Support; Seizure Detection; Multimodal Fusion; Automated Diagnosis; Clinical Recordings; Physiological Data; Unimodal Baselines. DOI: 10.69888/FTSHSL.2026.000591
12-30 Domain-Adaptive Multi-Stage Hybrid Segmentation with Deep Learning and Watershed Techniques for Accurate Medical Image Analysis Vishal Kumar Kanaujia, Awadhesh Kumar, Satya Prakash Yadav Keywords: Kidney Segmentation; Image Processing; Kidney Tumour Segmentation; Fully Convolutional Networks (FCN); Kidney Cancer; Refinement and Generalisation. DOI: 10.69888/FTSHSL.2026.000592
31-58 A Comprehensive Review on Image Segmentation and Classification Algorithms for Tumor Detection in Smart Healthcare Systems Kapil Shrivastava, Eirtty Telang, Rahat Naz, Sony Kumari, Avdhesh Kumar Tiwari, Allen Paul Esteban Keywords: Tumor Structures; Region-Growing; Segmentation Algorithm; Medical Imaging; Image Recognition; Feature Extraction; Textural Features; Computational Efficiency; Radial Basis Function (RBF). DOI: 10.69888/FTSHSL.2026.000593
59-72 Temporal Fusion Transformer-Based Multimodal Approach for Epileptic Seizure Detection and Prediction Gnaneswari Gnanaguru, S. Silvia Priscila, B. M. Praveen Keywords: Epilepsy Condition; Seizure Detection; Temporal Fusion Transformer (TFT); Seizure Prediction; Multimodal Deep Learning; Clinical Interpretability; Conventional Methods. DOI: 10.69888/FTSHSL.2026.000594
73–81 Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images B. Shilpa Shree, D. Sumathi, Prem Kumar Ramesh, M. Sindhu, S. P. Indushri, S. Naga Lahari, Farrukh Arslan Keywords: Convolutional Neural Networks (CNNs); Nutritional Deficiency; Hair and Nail Analysis; Medical Imaging; Healthcare Screening; Vitamin Detection; Traditional Diagnosis; Health Problems. DOI: 10.69888/FTSHSL.2026.000595