Cover Image

Deep Learning Approach for Enhancing Oral Squamous Cell Carcinoma with LIME Explainable AI Technique

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Islam, Samiha, Mahmud, Muhammad Zawad, Alve, Shahran Rahman, Chowdhury, Md. Mejbah Ullah, Oishe, Faija Islam
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Chronic Obstructive Pulmonary Disease Prediction Using Deep Convolutional Network
by: Alve, Shahran Rahman, et al.
Published: (2024)

Smart IoT Security: Lightweight Machine Learning Techniques for Multi-Class Attack Detection in IoT Networks
by: Alve, Shahran Rahman, et al.
Published: (2025)

Optimized IoT Intrusion Detection using Machine Learning Technique
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis
by: Elias, Farhana, et al.
Published: (2025)

Sdn Intrusion Detection Using Machine Learning Method
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
by: Sarkar, Ovi, et al.
Published: (2025)

An Explainable Agentic AI Framework for Uncertainty-Aware and Abstention-Enabled Acute Ischemic Stroke Imaging Decisions
by: Islam, Md Rashadul
Published: (2026)

Adaptive Weight Modified Riesz Mean Filter For High-Density Salt and Pepper Noise Removal
by: Islam, Md Jahidul
Published: (2025)

A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma
by: Jain, Garima, et al.
Published: (2025)

A High Magnifications Histopathology Image Dataset for Oral Squamous Cell Carcinoma Diagnosis and Prognosis
by: Guan, Jinquan, et al.
Published: (2025)

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation
by: Tushar, Fakrul Islam
Published: (2024)

Revealing the Self: Brainwave-Based Human Trait Identification
by: Islam, Md Mirajul, et al.
Published: (2024)

An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
by: Akter, Maksuda, et al.
Published: (2024)

MonoSIM: An open source SIL framework for Ackermann Vehicular Systems with Monocular Vision
by: Rahman, Shantanu, et al.
Published: (2026)

Deep Learning and Hybrid Approaches for Dynamic Scene Analysis, Object Detection and Motion Tracking
by: Alve, Shahran Rahman
Published: (2024)

Multi-Domain FeFET-Based Pixel for In-Sensor Multiply-and-Accumulate Operations
by: Udoy, Md Rahatul Islam, et al.
Published: (2025)

LightViz: Autonomous Light-field Surveying and Mapping for Distributed Light Pollution Monitoring
by: Huang, Sheng-En, et al.
Published: (2024)

An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
by: Talukder, Md. Alamin, et al.
Published: (2023)

A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification
by: Akter, Maksuda, et al.
Published: (2024)

W-DUALMINE: Reliability-Weighted Dual-Expert Fusion With Residual Correlation Preservation for Medical Image Fusion
by: Islam, Md. Jahidul
Published: (2026)

AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder
by: Huq, Aminul, et al.
Published: (2023)

Systematic Evaluation of Novel View Synthesis for Video Place Recognition
by: Mahmud, Muhammad Zawad, et al.
Published: (2026)

XDementNET: An Explainable Attention Based Deep Convolutional Network to Detect Alzheimer Progression from MRI data
by: Lincoln, Soyabul Islam, et al.
Published: (2025)

GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization
by: Tabassum, Sumaiya, et al.
Published: (2025)

Introduction of Medical Imaging Modalities
by: Islam, S. K. M Shadekul, et al.
Published: (2023)

Residual Learning and Filtering Networks for End-to-End Lossless Video Compression
by: Islam, Md baharul, et al.
Published: (2025)

Polyp segmentation in colonoscopy images using DeepLabV3++
by: Islam, Al Mohimanul, et al.
Published: (2024)

A Novel Approach for Defect Detection of Wind Turbine Blade Using Virtual Reality and Deep Learning
by: Rabbi, Md Fazle, et al.
Published: (2023)

A Two-Stage Deep Learning Framework for Segmentation of Ten Gastrointestinal Organs from Coronal MR Enterography
by: Rahman, Ashiqur, et al.
Published: (2026)

Unmasking Parkinson's Disease with Smile: An AI-enabled Screening Framework
by: Adnan, Tariq, et al.
Published: (2023)

Fine-Grained Cat Breed Recognition with Global Context Vision Transformer
by: Hera, Mowmita Parvin, et al.
Published: (2026)

InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
by: Miah, Md. Asiful Islam, et al.
Published: (2024)

Comparative Analysis of Machine Learning and Deep Learning Models for Classifying Squamous Epithelial Cells of the Cervix
by: Das, Subhasish, et al.
Published: (2024)

Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification
by: Moin, Mukaffi Bin, et al.
Published: (2024)

Fine-tuned Transformer Models for Breast Cancer Detection and Classification
by: Osman, Showkat, et al.
Published: (2025)

Size and Smoothness Aware Adaptive Focal Loss for Small Tumor Segmentation
by: Islam, Md Rakibul, et al.
Published: (2024)

Active Learning on Medical Image
by: Biswas, Angona, et al.
Published: (2023)

Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement
by: Ahmed, Istiak, et al.
Published: (2024)

From Explanations to Architecture: Explainability-Driven CNN Refinement for Brain Tumor Classification in MRI
by: Gupta, Rajan Das, et al.
Published: (2025)

Smart Diagnosis and Early Intervention in PCOS: A Deep Learning Approach to Women's Reproductive Health
by: Abrar, Shayan, et al.
Published: (2026)