Buch, Englisch, 624 Seiten, Format (B × H): 155 mm x 235 mm
8th International Conference, RTIP2R 2025, Marrakech, Morocco, December 11–13, 2025, Proceedings, Part II
Buch, Englisch, 624 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-39079-0
Verlag: Springer
This two-volume set CCIS 2986-2987 constitutes the refereed proceedings of the 8th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2025, held in Marrakech, Morocco, during December 11-13, 2025.
The 65 full papers and 10 short papers included in these volumes were carefully reviewed and selected from 181 submissions. They are organized into the following topical sections:
Part I: AI for Healthcare; Artificial Intelligence; Data analytics; Document analysis.
Part II: Healthcare
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
.- Healthcare.
.- Quantitative Texture Evaluation of Placental Ultrasound Images for Fetal Morbidity Analysis.
.- Advancing Endoscopic Diagnosis: A Comparative Study of CNNs and Tuned Multimodal LLMs with Interpretable Insights.
.- FusionAI: A Dual-Modality Deep Learning Framework Combining CT Imaging and Biochemical Markers for Early Kidney Cancer Detection.
.- Deep Learning for Lung Cancer Classification: Evaluating CNNs with Saliency Maps and Grad-CAM on CT Scans.
.- Custom and Hybrid CNN Architectures for Gastric Cancer Histopathology Image Classification: A Comparative Study On GCHTID.
.- Explainable Deep Learning for Multi-Class ECG Classification Using Hybrid Vision Transformer Models.
.- FreshDetect: Real-Time Fruit Freshness Evaluation Using Deep Learning.
.- A Data Analysis on Diabetic Patients Using Data Mining Tools and Prediction Algorithms.
.- Advancing Person Authentication: Integrating Face and Finger Vein Biometrics Using DCNN-Based Feature Fusion.
.- A Novel Approach for Classification of Different Types of Dementia Using Depthwise Separable Convolution Neural Network.
.- RetinaFormer: A Hybrid Vision Transformer-CNN Architecture for Diabetic Retinopathy Grading.
.- Diagnosis of Domestic Animal Skin Diseases: An Advanced Deep Architecture Approach.
.- Benchmarking Deep Neural Network Architectures for Multi-Class Cardiac Condition Classification.
.- Efficient Lung CT Volume Reduction through Adaptive Seed Point Detection for Slice Discarding.
.- Breast Cancer Classification in Ultrasound via ViT-CNN-ATS.
.- A Unified Approach to Skin Cancer Classification and Stage Detection.
.- Deep Convolutional Architectures for EEG Classification: A Comparative Study with Temporal Augmentation and Confidence-Based Voting.
.- M-NetTr: Transformer Architecture for Retinal Vascular Segmentation using Fundus Images.
.- Deep Learning-Based Diagnosis of Keratoconus: A Comparative Study of MobileNetV2, VGG16, and InceptionV3 Models.
.- Predicting the Outcome of rTMS Depression Therapy using EEG signals and CNN.
.- Predicting the outcome of rTMS depression therapy using CQT and CNN.
.- Multimodal Deep Learning Framework for Automated Detection and Classification of Lung Diseases Using 3D CT Scans and Clinical Data.
.- Recognising Cardiovascular Risk Patterns using Ensemble Learning Algorithms.
.- Deep Learning-Based Brain Tumor Classification from Multi-Slice MRI: A Comparison of CNN Architectures.
.- Deep Learning Approach for B-Cell Non-Hodgkin Lymphoma Subtype Classification Using Histopathological Images.
.- Integrating Feature Reduction with Machine Learning for Breast Cancer Diagnosis: An LDA-Based Methodology.
.- Enhanced U-Net Architecture with VGG16 Backbone and Attention Mechanisms for Automated Nasal Sinus Disease Segmentation.
.- Improving Breast Cancer Detection with Bayesian Optimization and Dynamic Ensemble Selection: A Case Study on the Wisconsin Breast Cancer Diagnostic Datasets.
.- Brain Cancer Detection using Deep Learning Models Empowered by Ensemble Approach.
.- Lightweight Transformer with Graph Attention for UAV Image Super-Resolution.
.- Efficient Image Encoding Approaches for Vision based IoT Systems.
.- Snap to Cook — AI Recipe Generator from Food Image Using Residual Network: ResNet101.
.- Hybrid Deep Learning Models for Multiclass Classification of Sperm Morphology Using CNN and Vision Transformer Architectures.
.- Automated Car Damage Identification via YOLOv8 and Computer Vision Techniques.
.- SwinRH-DeBlur: A Unified CNN-Swin Transformer Residual Hybrid Deblurrer for Realistic Motion Blur Removal.
.- Real-Time Underwater Crack Detection with YOLOv11 on Raspberry Pi for Marine Infrastructure Inspection.
.- Deep Learning-Based Image Captioning with ResNet-50 and GRU for Assistive Applications.
.- Enhancing Code-Modulated Visual Evoked Potential Classification for Brain-Computer Interfaces with Laplacian Spatial Filters.
.- Visual interpretable methods for skeleton Models.
.- Robust Feature Learning for Adversarial Defense: A Margin-Based Supervised Contrastive Framework.
.- Comparative Analysis of Deep Learning and Machine Learning Approaches for the Detection of Hardware Trojans.
.- Enhancing Data Security with the Innovative MLADE Framework for Multi-Level Encryption.
.- Brain Tumor Classification Using MobileNet-ViT with Visual Explainability through Grad-CAM.
.- AI-Driven Predictive Policing and Facial Recognition in Rajasthan: A Critical Analysis of the Abhay Command Center.
.- In-Depth Web Vulnerability Assessment via Open-Source Intelligence Techniques.
.- AI-driven Framework for Enhancing Security and Quality of Service in Avionics Systems.
