Cover Image

An Explainable Hybrid AI Framework for Enhanced Tuberculosis and Symptom Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Patel, Neel, Wong, Alexander, Ebadi, Ashkan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks
by: Patel, Neel, et al.
Published: (2024)

REVEAL: Reasoning-Enhanced Forensic Evidence Analysis for Explainable AI-Generated Image Detection
by: Cao, Huangsen, et al.
Published: (2025)

Tackling Tuberculosis: A Comparative Dive into Machine Learning for Tuberculosis Detection
by: Hindustani, Daanish, et al.
Published: (2025)

Hybrid Deep Learning Framework for Enhanced Diabetic Retinopathy Detection: Integrating Traditional Features with AI-driven Insights
by: Maity, Arpan, et al.
Published: (2025)

Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
by: Chagahi, Mehdi Hosseini, et al.
Published: (2024)

Enhancing the Fairness and Performance of Edge Cameras with Explainable AI
by: Nguyen, Truong Thanh Hung, et al.
Published: (2024)

Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
by: Tsigos, Konstantinos, et al.
Published: (2024)

DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning
by: Gao, Yifeng, et al.
Published: (2025)

Edge-Enhanced Vision Transformer Framework for Accurate AI-Generated Image Detection
by: Das, Dabbrata, et al.
Published: (2025)

Brain Stroke Detection and Classification Using CT Imaging with Transformer Models and Explainable AI
by: Qari, Shomukh, et al.
Published: (2025)

Ivy-Fake: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection
by: Jiang, Changjiang, et al.
Published: (2025)

AmaraSpatial-10K: A Spatially and Semantically Aligned 3D Dataset for Spatial Computing and Embodied AI
by: Salehi, Mohammad Sadegh, et al.
Published: (2026)

RAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection
by: Li, Tianxiao, et al.
Published: (2025)

HalCECE: A Framework for Explainable Hallucination Detection through Conceptual Counterfactuals in Image Captioning
by: Lymperaiou, Maria, et al.
Published: (2025)

Evaluating Explainable AI Methods in Deep Learning Models for Early Detection of Cerebral Palsy
by: Pellano, Kimji N., et al.
Published: (2024)

Generative AI-Driven High-Fidelity Human Motion Simulation
by: Iyer, Hari, et al.
Published: (2025)

Leaf-Based Plant Disease Detection and Explainable AI
by: Sagar, Saurav, et al.
Published: (2023)

Automatic Image Annotation (AIA) of AlmondNet-20 Method for Almond Detection by Improved CNN-based Model
by: Ilani, Mohsen Asghari, et al.
Published: (2024)

Interactive Explainable Anomaly Detection for Industrial Settings
by: Gramelt, Daniel, et al.
Published: (2024)

AI Powered High Quality Text to Video Generation with Enhanced Temporal Consistency
by: Patel, Piyushkumar
Published: (2025)

Enhancing Tree Species Classification: Insights from YOLOv8 and Explainable AI Applied to TLS Point Cloud Projections
by: Straker, Adrian, et al.
Published: (2025)

Advancements in Crop Analysis through Deep Learning and Explainable AI
by: Khan, Hamza
Published: (2025)

Sparse Prototype Network for Explainable Pedestrian Behavior Prediction
by: Feng, Yan, et al.
Published: (2024)

XAI-MeD: Explainable Knowledge Guided Neuro-Symbolic Framework for Domain Generalization and Rare Class Detection in Medical Imaging
by: Urooj, Midhat, et al.
Published: (2026)

A Clinically Interpretable Deep CNN Framework for Early Chronic Kidney Disease Prediction Using Grad-CAM-Based Explainable AI
by: Ayub, Anas Bin, et al.
Published: (2025)

XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence
by: Ghahfarokhi, Sepehr Salem, et al.
Published: (2026)

Explainable Fundus Image Curation and Lesion Detection in Diabetic Retinopathy
by: Mihai, Anca, et al.
Published: (2025)

Explainable Visual Anomaly Detection via Concept Bottleneck Models
by: Stropeni, Arianna, et al.
Published: (2025)

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
by: Zaigrajew, Vladimir, et al.
Published: (2024)

Enhancing Cross-Patient Generalization in AI-Based Parkinson s Disease Detection
by: Albani, Mhd Adnan, et al.
Published: (2025)

Passive Construction Site Safety Monitoring via Persona-Scaffolded Adversarial Chain-of-Thought VLM Verification
by: Sriram, Ananth, et al.
Published: (2026)

Explainable Deep Learning in Medical Imaging: Brain Tumor and Pneumonia Detection
by: Erukude, Sai Teja, et al.
Published: (2025)

Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI
by: Chanchal, Akchunya, et al.
Published: (2025)

On the Effectiveness of Methods and Metrics for Explainable AI in Remote Sensing Image Scene Classification
by: Klotz, Jonas, et al.
Published: (2025)

Generative AI for Enhanced Wildfire Detection: Bridging the Synthetic-Real Domain Gap
by: Gaba, Satyam
Published: (2025)

Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers
by: Sun, Bohang, et al.
Published: (2025)

A Framework for Evaluating Zero-Shot Image Generation in Concept-based Explainability
by: Astolfi, Giacomo, et al.
Published: (2026)

Fact-R1: Towards Explainable Video Misinformation Detection with Deep Reasoning
by: Zhang, Fanrui, et al.
Published: (2025)

Knowledge-Guided Textual Reasoning for Explainable Video Anomaly Detection via LLMs
by: Lee, Hari
Published: (2025)

Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images
by: Khadidos, Adil O., et al.
Published: (2026)